I'm looking for a job. I exported this list from FewerJobs.com - a curated job board.

Please:
1. Rank these jobs by fit for me, given my resume / skills.
2. Highlight the top 5 with a one-sentence rationale each.
3. Flag any concerns, including benefit values without source-backed evidence.
4. Suggest one or two filter changes I could make on FewerJobs to find more good matches.

Filters I applied:
- q: Bayesian Health
- quality_floor: default
- match_401k_strict: true
- parental_strict: true
- non_birth_strict: true
- pto_strict: true
- include_older: false
- apply_url_verified: false
- page: 1
- per_page: 100
- sort: relevance

Jobs (100 total):

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TITLE: Physician Consultant (Part Time)
EMPLOYER: Bayesian Health
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2024-12-20
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/3dc7d5ef-23d5-4374-93f7-04c2f32a7b71
EXCERPT: Physician Consultant (Part Time) Remote, United States In Brief - We're an early-stage startup that's building a health AI platform to help clinicians make better use of real-time data to reduce preventable complications and save patient lives. - We're looking for board certified physicians with at least 5 years of clinical experience who have also participated in clinical studies for regulatory submission. Who We Are We're using state-of-the-art tech to build AI co-pilots for doctors and nurses to literally help them save lives! Read more here about the recent publication on the cover of Nature Medicine of our large, two-year study of the effectiveness of our platform. We're not afraid of hard problems and are highly results-oriented. We also like to have fun while we're working on hard things. Our culture is highly collaborative, inclusive, supportive, and we have a strict “no jerks” policy. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognition includes: AI Top 50, World Economic Forum Tech Pioneer, UCSF Digital Health Top 3 emerging startups in digital health. Who You Are - MD, MBBS, or DO - Board certified in Medical or Surgical Critical Care (CC), Infectious Diseases (ID), Emergency Medicine (EM), Internal Medicine (IM), General Surgery (GS) or related fields - At least 5 years of clinical experience - Prior experience with clinical informatics or clinical decision support tools - Prior clinical trials experience
---
TITLE: Software Engineer, Analytics
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2026-01-06
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/4c32de3a-78fd-4046-a70b-c2fa8b0417a7
EXCERPT: Software Engineer, Analytics Remote - US Only, United States Software Engineer, Analytics In Brief - We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - You will lead the development of our clinical AI/ML product analytics infrastructure, frameworks, and tools to enable our client success, product, clinical, and technology teams to uplevel our decision making through better insights. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What you'll do As a Senior Software Engineer, Analytics, you will work closely with client success, product managers, clinicians, data scientists, and other software engineers to build infrastructure, frameworks, and tools to improve client analytics, facilitate clinical case reviews, and support product investigation. This role is crucial to provide
---
TITLE: Infrastructure Engineer
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2026-04-27
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/afb98055-5ebe-43a2-b319-ea0936a3b921
EXCERPT: Infrastructure Engineer Remote - US Only, United States In Brief - We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - You will build and maintain the infrastructure for the Bayesian platform and develop CI/CD to enable other team members such as software engineers, data scientists, etc. to accelerate their development will drive expansion of our clinical AI/ML module offerings, health system enterprise-wide implementations, and revenue growth. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What you'll do As an Infrastructure Engineer, you will build and maintain the networking and infrastructure for the Bayesian platform and develop CI/CD pipelines to enable other team members such as software engineers, data scientists, etc. to accelerate their
---
TITLE: Clinical Integration, Nurse Consultant
EMPLOYER: Bayesian Health
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2024-12-20
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/b4f0f33b-e09b-46a8-8f98-610af41929ed
EXCERPT: Clinical Integration, Nurse Consultant Remote, United States Clinical Integration - Nurse Consultant In Brief - We're a rapidly growing startup on a mission to make healthcare proactive by empowering clinicians with real-time data to save lives. - We're looking for a full-time nurse consultant with 5+ years of clinical experience as a registered nurse with a strong understanding of healthcare processes and workflows; demonstrated leadership skills and involvement with quality improvement and/or experience in clinical informatics/analytics roles. Who We Are We're using state-of-the-art tech to build AI co-pilots for doctors and nurses to literally help them save lives! Read more about our recent publication in Nature Medicine that associates our products with lives saved. We're a diverse and experienced team of AI/ML experts, software engineers, product designers, behavior change specialists, and clinicians. We're not afraid of hard problems and are highly results-oriented. We also like to have fun while we're working on hard things. Our culture is highly collaborative, inclusive, supportive, and we have a strict “no jerks” policy. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. What You'll Do This role is critical to our ability to accelerate and scale our clinical AI product deployment as we expand our client base. You will: - Collaborate closely with clients
---
TITLE: Enterprise Growth Lead
EMPLOYER: Bayesian Health
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2024-12-19
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/89b33de0-10a6-49d8-a94b-b033ece6b3c6
EXCERPT: Enterprise Growth Lead Remote, United States Enterprise Growth Lead In Brief - We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - We are looking for an experienced, motivated Enterprise Growth Lead to lead revenue growth in a territory. In this role, you will develop and execute a sales and account growth strategy to drive adoption of our solutions across health systems. You'll be at the forefront of our mission, working closely with hospital executives and clinical leaders to bring our groundbreaking technology to life. Who We Are We're using state-of-the-art tech to build AI co-pilots for doctors and nurses to literally help them save lives! Read more about our recent publication in Nature Medicine that associates our products with lives saved. We're a diverse and experienced team of AI/ML experts, software engineers, product designers, behavior change specialists, and clinicians. We're not afraid of hard problems and are highly results-oriented. We also like to have fun while we're working on hard things. Our culture is highly collaborative, inclusive, supportive, and we have a strict “no jerks” policy. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Who You Are - Proven Commercial Leadership:
---
TITLE: Client Success Account Executive, Clinical
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2025-11-10
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/2dc696e4-07f7-48e5-9003-41fe18aa6635
EXCERPT: Client Success Account Executive, Clinical Remote - US Only, United States Client Success Account Executive, Clinical In Brief - We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - Lead clinical health system accounts through strategic implementation and lifecycle management, utilizing data to drive adoption, optimize outcomes, and unlock expansion opportunities across clinical modules. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What You'll Do As a Client Success Account Executive, Clinical, you become the strategic face of Bayesian for health system clients, guiding them from implementation through their entire lifecycle. You'll cultivate executive relationships, design stakeholder engagement strategies, and lead cross-functional teams to drive product adoption and clinical outcomes. Your clinical expertise allows you to
---
TITLE: Software Engineer, Full Stack
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2026-04-13
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/a4bd37a8-644b-4889-a378-cb047a05669f
EXCERPT: Software Engineer, Full Stack Remote - US Only, United States Software Engineer, Full Stack In Brief - We're a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - You will work closely with product managers, clinicians, data scientists, and other software engineers to build world-class clinical AI/ML products with direct positive impacts to frontline users within leading enterprise health systems. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What you'll do As a Software Engineer, you will be instrumental in the development and deployment of our clinical AI/ML products within leading enterprise health systems, involving close collaboration with product managers, clinicians, data scientists, and other engineers. Your contributions will be critical for expanding our product
---
TITLE: Director of AI/ML
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2026-01-09
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/ab5cfb5a-26ad-4f68-864e-f9c4da4f487b
EXCERPT: Director of AI/ML Remote - US Only, United States Director of AI/ML In Brief - We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - Lead Bayesian Health's AI/ML organization with a hands-on, scrappy approach: setting technical vision, rolling up your sleeves on critical modeling work, and building a world-class team that ships breakthrough ML products saving lives in hospitals nationwide. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What you'll do As Director of AI/ML, you'll set the technical vision and strategy for Bayesian Health's machine learning organization while building and leading a high-performing team of data scientists and ML engineers. You'll partner deeply with Engineering to architect scalable data warehousing and ML infrastructure that enables
---
TITLE: Staff Machine Learning Engineer
EMPLOYER: Bayesian Health
LOCATION: Remote, United States (remote)
SALARY: Not disclosed
POSTED: 2024-12-19
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/48eed0cc-2eaf-4c9d-a394-4efb14200b75
EXCERPT: Staff Machine Learning Engineer Remote, United States Staff Machine Learning Engineer In Brief - We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - Part Data Scientist (building models), part Applied Scientist (productionizing models), and part MLE (deploying, maintaining), also known as “Full Stack Data Scientist” - someone who wants to own the end-to-end effectiveness of their real-time models in a live, clinical AI product. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What You'll Do As a Staff Machine Learning Engineer, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you
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TITLE: Forward Deployed Software Engineer, Full Stack
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2026-01-06
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/859d3ef1-2cf9-4ecd-b25e-92c0c10fd701
EXCERPT: Forward Deployed Software Engineer, Full Stack Remote - US Only, United States Forward Deployed Software Engineer, Full Stack In Brief - We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - You will lead and optimize enterprise-level client technical implementations, and help us build our growing Forward Deployed Engineering team. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What you'll do Lead the integration of our clinical AI platform and application with our health system clients' electronic health records (EHR) involving cross-functional collaboration with Client Success, Clinical, Product, and Data Science. You'll play an important role in building automation and tooling to reduce integration resources and timeline that's crucial as we expand our client base.
---
TITLE: Senior/Staff Machine Learning Data Scientist
EMPLOYER: Bayesian Health
LOCATION: Remote - US Only, United States (remote)
SALARY: Not disclosed
POSTED: 2025-10-22
APPLY_URL: https://jobs.ashbyhq.com/bayesianhealth/ee2afa4f-e73a-4462-ba25-952ecd06ce7a
EXCERPT: Senior/Staff Machine Learning Data Scientist Remote - US Only, United States Senior/Staff Machine Learning Data Scientist In Brief - We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. - TLDR : Independent end-to-end model development with ability to work cross-functionally with Clinical, Engineering, and Product to clarify and prioritize specifications and features for our life-saving AI models. Who We Are Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. What you'll do As a Senior/Staff Machine Learning Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren't afraid to get your hands dirty
---
TITLE: Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference
EMPLOYER: Headway
LOCATION: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States (unspecified)
SALARY: $250K-$312K
POSTED: 2026-02-03
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/headway/jobs/5751656004
EXCERPT: Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States 1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway's mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. Join us to build the truth engine behind better mental health outcomes. As a Senior Staff Data Scientist, Bayesian Experimentation and Causal Inference , you will be the company-wide owner of how Headway learns from data, especially when the stakes are high
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TITLE: Researcher, Health AI
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2025-01-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/bcbe08e3-9593-431d-bc99-37e35e035742
EXCERPT: Researcher, Health AI San Francisco, California, United States About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models towards their deployment in the real world. OpenAI's charter calls on us to ensure the benefits of AI are distributed widely. Our Health AI team is focused on enabling universal access to high-quality medical information. We work at the intersection of AI safety research and healthcare applications, aiming to create trustworthy AI models that can assist medical professionals and improve patient outcomes. About the Role We're seeking strong researchers who are passionate about advancing AI safety and improving global health outcomes. As a Research Scientist, you will contribute to the development of safe and effective AI models for healthcare applications. You will implement practical and general methods to improve the behavior, knowledge, and reasoning of our models in these settings. This will require research into safety and alignment techniques that we aim to generalize towards safe and beneficial AGI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and apply practical and scalable methods to improve safety and reliability of our models, including RLHF, automated red teaming, scalable oversight, etc. - Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information. - Build reusable libraries for applying general alignment techniques to our models.
---
TITLE: Research Scientist
EMPLOYER: Latent
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/latent/648fa6e1-52b8-4c43-8cf9-ab80260ecb1d
EXCERPT: Research Scientist San Francisco | OnSite RESEARCH SCIENTIST ABOUT LATENT HEALTH Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For everyone else, care is fragmented and impersonal. Medical history is scattered across systems that don't communicate. Physicians have minutes to understand decades of context. And when something goes wrong, patients are left with tools that understand medicine broadly-but not the individual. We believe this can be fundamentally rebuilt. At Latent Health, we are building systems that understand both: - the population (clinical knowledge at scale) - and the individual (longitudinal patient history) Our models are designed to answer complex clinical questions with patient-specific context and verifiable reasoning. Our dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. Each patient record contains extraordinary depth. ML AT LATENT HEALTH The Machine Learning team is responsible for building systems that run in real clinical workflows. We work on: - Verifiable reinforcement learning at scale - Mid-training and post-training of foundation models - Novel objectives derived from longitudinal patient data We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production. We are a small team and expect engineers to take ownership of critical systems, not components. THE ROLE As a Machine Learning Engineer, Research, you will own the design and development of novel modeling approaches that advance state-of-the-art
---
TITLE: Machine Learning Research Scientist - Health AIML
EMPLOYER: Apple
LOCATION: Seattle, United States of America (unspecified)
SALARY: $201K-$367K
POSTED: 2026-03-04
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200649925/machine-learning-research-scientist-health-aiml?team=MLAI
EXCERPT: Machine Learning Research Scientist - Health AIML Seattle, United States of America The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives. We're developing next-generation multimodal models to create intelligent health and fitness experiences. This role requires someone with strong expertise in large multimodal models to work at the intersection of AI and health to build foundational models that scale to billions of users worldwide. Your work will shape the future of health and fitness technologies at Apple. We are looking for a research lead to guide multimodality research. You will lead the development of foundational technology that enables models to understand health and fitness data. Lead research into health and fitness representation models and multimodal models. Design, prototype and scale up new architectures to improve model intelligence. Execute and analyze experiments autonomously and collaboratively. Study, debug, and optimize model performance and computational performance. Contribute to training and inference infrastructure. Guide technical and architectural decision. Minimum Qualifications: PhD in Computer Science/Engineering, Machine Learning, Statistics, Mathematics or related field. Industry work experience. Experience landing contributions to major LLM training runs. Proven track record of publishing SOTA. Strong skills with deep learning frameworks such as PyTorch, JAX,
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TITLE: Staff Machine Learning Engineer (Health)
EMPLOYER: Whoop
LOCATION: Boston, MA (unspecified)
SALARY: $170K-$230K
POSTED: 2026-05-04
APPLY_URL: https://jobs.lever.co/whoop/44a1154e-9580-4ba6-8dc0-6f87684697ba
EXCERPT: Staff Machine Learning Engineer (Health) Boston, MA WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Machine Learning Engineer on our Clinical Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure-deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. A central part of this role is collaborating with crossfunctional teams that own regulatory, quality, and clinical strategy, to ensure our algorithms are developed with the rigor required for regulated software. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services within a quality-managed framework. WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a
---
TITLE: Machine Learning Engineer / Scientist
EMPLOYER: Until
LOCATION: Bay Area (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-25
APPLY_URL: https://jobs.lever.co/until/b953a7f9-3024-43c2-abed-45cf5a91ddd3
EXCERPT: Machine Learning Engineer / Scientist Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge,
---
TITLE: Machine Learning Engineer
EMPLOYER: Latent
LOCATION: San Francisco | OnSite (onsite)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/latent/233bbaac-d589-49f4-a8eb-6bb16673b060
EXCERPT: Machine Learning Engineer San Francisco | OnSite MACHINE LEARNING ENGINEER ABOUT LATENT HEALTH Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For everyone else, care is fragmented and impersonal. Medical history is scattered across systems that don't communicate. Physicians have minutes to understand decades of context. And when something goes wrong, patients are left with tools that understand medicine broadly-but not the individual. We believe this can be fundamentally rebuilt. At Latent Health, we are building systems that understand both: - the population (clinical knowledge at scale) - and the individual (longitudinal patient history) Our models are designed to answer complex clinical questions with patient-specific context and verifiable reasoning. Our dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. Each patient record contains extraordinary depth. ML AT LATENT HEALTH The Machine Learning team is responsible for building systems that run in real clinical workflows. We work on: - Verifiable reinforcement learning at scale - Mid-training and post-training of foundation models - Novel objectives derived from longitudinal patient data We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production. We are a small team and expect engineers to take ownership of critical systems, not components. THE ROLE As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that
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TITLE: Senior Machine Learning Engineer
EMPLOYER: Function Health
LOCATION: United States - Remote (remote)
SALARY: Not disclosed
POSTED: 2026-04-06
APPLY_URL: https://jobs.gem.com/function-health/am9icG9zdDrIusvI1BQkQdQ82yKA-8So
EXCERPT: Senior Machine Learning Engineer United States - Remote This team spans many time zones. Most team meetings are between 8 and 11 am EST. Attendance is required for this role. Our Mission Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company's Most Innovative Companies of 2024 , and is venture-backed by Andreessen Horowitz (a16z) . Hundreds of thousands of members have joined Function to take control of their health. Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives. Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent. Function's newly launched Medical Intelligence Lab (MIL) is charged with building the operating system that converts individual and population health data into health guidance. In essence, MIL is building a GPS for health - a system which understands where you have been, has mapped the health landscape around you, and steers you where you need to go to avoid disease and arrive at healthy longevity. MIL brings together engineers,
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TITLE: Staff Data Scientist, (Global Security)
EMPLOYER: Royal Bank of Canada
LOCATION: TORONTO, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-02
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/16-YORK-STTORONTO/Staff-Data-Scientist---Global-Security-_R-0000173773-1/apply
EXCERPT: Staff Data Scientist, (Global Security) TORONTO, Ontario, Canada Embrace the role of a Staff Data Scientist and lead advanced analytics projects using PySpark, Python, and Bayesian statistics. Mentor junior scientists, build robust machine learning models, and drive innovation in data science for global security. Shape impactful solutions in a collaborative, high-performing environment. Grow your career with us in Toronto!
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TITLE: Senior Machine Learning Engineer (Data Science Algorithms)
EMPLOYER: Whoop
LOCATION: Boston, MA (unspecified)
SALARY: $150K-$210K
POSTED: 2025-09-25
APPLY_URL: https://jobs.lever.co/whoop/d65ec99a-3ed8-4aba-8f63-6c35a64514d5
EXCERPT: Senior Machine Learning Engineer (Data Science Algorithms) Boston, MA WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our data science algorithms teams are responsible for developing novel algorithms and features that expand our health and fitness capabilities with medical-grade metrics. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. Currently, we have two Senior MLE roles open across two teams: DS Health team: novel algorithms within the domains of women's health, multimodal longitudinal health insights, and SaMD DS Core Algos team: performance-related insights for sleep, recovery, or exercise As a Senior Machine Learning Engineer on our Core Algos or Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineer, and cloud infrastructure - deploying robust, scalable, and reliable ML solutions build on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and ability to deliver production-ready ML systems. WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
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TITLE: Staff Data Scientist (Global Security)
EMPLOYER: Royal Bank of Canada
LOCATION: TORONTO, Ontario, Canada (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://rbc.wd3.myworkdayjobs.com/RBCGLOBAL1/job/16-YORK-STTORONTO/Staff-Data-Scientist--Global-Security-_R-0000175851-1/apply
EXCERPT: Staff Data Scientist (Global Security) TORONTO, Ontario, Canada Embrace the role of a Staff Data Scientist and lead the analysis of global security datasets using Python, Spark, and Bayesian statistics. Oversee multiple projects, mentor junior scientists, and drive impactful solutions in a collaborative environment. Shape the future of data-driven security with us!
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TITLE: Location Estimation Engineer, Sensing & Connectivity
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-03-27
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200610825/location-estimation-engineer-sensing-connectivity?team=SFTWR
EXCERPT: Location Estimation Engineer, Sensing & Connectivity Cupertino, United States of America Develop and improve multi-sensor navigation technology as a location estimation engineer. Craft the next generation of location-aware mobile experiences by working on state-of-the-art technologies to seamlessly integrate people's digital and physical lives. Are you passionate about building technology that will make a difference? Do you flourish with good creative challenges? Do you love attention to detail? If so, we might just be the team for you. Here at Apple, we build devices and services that enrich our customers' lives. In the location technologies group, we help people connect: with each other, and with our planet. We reach more than a billion people. We help them find their way, and we help them find each other. We help them stay healthy, and sometimes we even save their lives. What we do and how we do it makes a difference. Join our team, and we'll help you do the best work of your life. If you join our team, you'll research, design, develop, debug, and support location estimation software. You'll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. You'll work with customers of location, both internal and external, to make best use of your work to support their applications. Minimum Qualifications: Graduate degree in Engineering, Computer Science or a related field or a Bachelor's degree with equivalent experience in positioning and Bayesian estimation. Proficient in Bayesian estimation concepts and Kalman filtering
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TITLE: Epidemiology Specialist - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: United States of America (unspecified)
SALARY: $8-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4645483101
EXCERPT: Epidemiology Specialist - Freelance AI Trainer Project United States of America Are you a master of epidemiology eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, accelerate public health insights, and support evidence-based decision-making across the globe. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for epidemiology specialists who live and breathe study design, disease surveillance, outbreak investigation, biostatistics, risk factor analysis, transmission dynamics, public health interventions, and evidence synthesis. You'll challenge advanced language models on topics like cohort and case-control studies, incidence and prevalence, R₀ and herd immunity, confounding and bias, causal inference, diagnostic test performance, and global health surveillance systems-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world epidemiological problems and theoretical scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD degree in epidemiology, public health, biostatistics, or a closely related field is ideal; peer‑reviewed publications, applied research in population health, or work in public health agencies or field epidemiology signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your epidemiology expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range
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TITLE: Co-op, LLMs for Decision Making
EMPLOYER: Lila Sciences
LOCATION: Cambridge, MA USA (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-11
APPLY_URL: https://job-boards.greenhouse.io/lilasciences/jobs/4280808009
EXCERPT: Co-op, LLMs for Decision Making Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental decision-making, closing the loop between models, experiments, and the next thing to try. We're now exploring how large language models can extend that capability: encoding domain priors, proposing candidates, reasoning over campaign history, and pairing naturally with established algorithms like Bayesian optimization for sample-efficient search. As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled experimental design. Your work will land in the decision making stack that powers experimental campaigns across Lila's AI Science Facilities. What You'll Be Building - Contribute to LLM-based decision-making methods for experimental campaigns, focused on a well-defined sub-problem - Prototype approaches that combine LLM reasoning with Bayesian optimization, active learning, or design of experiments, with mentor guidance - Build evaluation frameworks that benchmark LLM-augmented strategies against established Bayesian baselines - Help integrate promising methods into the decision making stack used across physical sciences campaigns - Document findings and share results through write-ups, presentations, or contributions to internal libraries What You'll Need to Succeed - Pursuing a Master's or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics, Chemistry, Materials Science, or a related quantitative field - Strong programming skills in Python and familiarity with ML
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TITLE: Senior Research Scientist
EMPLOYER: Whoop
LOCATION: Boston, MA (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-11
APPLY_URL: https://jobs.lever.co/whoop/531ae22b-80d2-4189-a628-395504b3146e
EXCERPT: Senior Research Scientist Boston, MA RESPONSIBILITIES: - Lead end-to-end research projects from hypothesis formulation through analysis, interpretation, and communication - Analyze large-scale, longitudinal physiological and behavioral datasets to identify meaningful patterns and insights - Develop and evaluate models that characterize individual variability and predict future physiological states - Translate research findings into clear, actionable recommendations that inform product direction and algorithm development - Collaborate closely with product, engineering, and data science teams to ensure research is interpretable and aligned with real-world use cases - Contribute to the design and execution of research programs - Produce high-quality scientific outputs, including internal reports, white papers, and peer-reviewed publications - Serve as a senior technical leader, providing guidance and mentorship to junior scientists and contributing to raising the bar for scientific rigor across the team. - Help define research standards, methodologies, and best practices across the team QUALIFICATIONS: - PhD (or equivalent experience) in a quantitative or health-related field (e.g., Epidemiology, Biostatistics, Biomedical Engineering, Neuroscience, Computer Science, or related disciplines), - Strong background in health science, with grounding in public health and clinical concepts, and experience modeling longitudinal or time-series data (e.g., within-person variability in real-world settings) - Demonstrated ability to design hypothesis-driven analyses and translate findings into clear conclusions - Proficiency in statistical modeling and/or machine learning methods and demonstrated experience using Python or R - Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference - Ability to work across disciplines and
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TITLE: Senior Data Scientist
EMPLOYER: Probably Genetic
LOCATION: San Francisco | Hybrid | Remote (hybrid)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.ashbyhq.com/probablygenetic/38b04bbc-0526-44f6-9502-07772f3a1164
EXCERPT: Senior Data Scientist San Francisco | Hybrid | Remote ABOUT PROBABLY GENETIC Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley's best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. ABOUT THE ROLE We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter
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TITLE: Statistics Specialist - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: United States of America (unspecified)
SALARY: $6-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4603887101
EXCERPT: Statistics Specialist - Freelance AI Trainer Project United States of America Are you a statistics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline data analysis for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for statistics specialists who live and breathe probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms. You'll challenge advanced language models on topics like statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on data scenarios and theoretical statistics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in statistics, data science, mathematics, or a closely related field is ideal; peer‑reviewed publications, applied statistical research, or hands-on experience with large datasets signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your statistics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after
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TITLE: Machine Learning Engineer III
EMPLOYER: General Atomics
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5167366
EXCERPT: Machine Learning Engineer III General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. DUTIES AND RESPONSIBILITIES: - Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms of limited scope. - In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. - In both theoretical development environments and specific product design, implementation and improvement environments, uses programming language and technologies to translate algorithms and technical specifications into code. - Completes programming and implements efficiencies, performs testing and debugging. - Completes documentation and procedures for installation and maintenance. - Applies deep learning technologies to give computers the capability to visualize, learn and respond to situations of limited scope. - Lead technical teams and scope challenging projects into executable sprints. - Drive code reviews to help team adhere to general DevSecOps and MLOps best practices. - Have a growth mindset and be comfortable in a setting where milestones shift often due to customer preferences or technology evolution. - Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. - Interface with external vendors and partners to integrate their technology into the team's autonomy stack. - Maintains
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TITLE: Senior Data Scientist
EMPLOYER: Best Buy
LOCATION: Location not specified (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25632&siteid=5649&PageType=JobDetails&jobid=3729939
EXCERPT: Senior Data Scientist As a Senior Data Scientist, you will lead high-impact analytics initiatives within our Ads Analytics team. In this manager-level role, you'll guide technical execution, mentor data scientists, and collaborate across teams to deliver insights that shape our advertising ecosystem. You'll dive deep into experimental design, predictive modeling, and Bayesian statistics-while also helping build scalable analytics infrastructure and AI-powered tools. If you love solving complex problems and translating data into clear, actionable strategies, this is the role for you. This role is hybrid, which means you will be required to work some days at our Best Buy office in Richfield, Minnesota, or New York City, and some days virtually from home or another non-Best Buy location. Candidates outside these metro areas may qualify for remote work. The recruiter or hiring manager will provide more details during the hiring process. What You'll Do - Lead analytics projects focused on ad performance, client measurement, and experimentation. - Design and oversee experiments to evaluate product impact and optimize advertising outcomes. - Build forecasting models and apply Bayesian frameworks to support strategic decisions. - Develop scalable data pipelines and reporting tools across cloud platforms. - Communicate insights through clear, compelling visualizations for technical and non-technical audiences. - Mentor junior data scientists and foster technical excellence across the team. Basic qualifications - 4+ years of experience focused on advertising, marketing analytics, or client measurement, with a strong ability to connect data insights to business strategy. With a Bachelor's Degree or equivalent experience. -
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TITLE: Applied Scientist II - AMZ9890756
EMPLOYER: Amazon
LOCATION: San Diego, California, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-05-24
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10428969/applied-scientist-ii-amz9890756
EXCERPT: Applied Scientist II - AMZ9890756 San Diego, California, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Applied Scientist II Job Location: San Diego, California Job Number: AMZ9890756 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. 40 hours / week, 8:00am-5:00pm, Salary Range: $142,800/year to $193,200/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related
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TITLE: Machine Learning Engineer - Health AIML
EMPLOYER: Apple
LOCATION: Boulder, United States of America (unspecified)
SALARY: $212K-$386K
POSTED: 2026-04-24
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200659977/machine-learning-engineer-health-aiml?team=MLAI
EXCERPT: Machine Learning Engineer - Health AIML Boulder, United States of America The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives. In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products. Minimum Qualifications: 10+ years of overall software development experience. Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production. BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification). Preferred Qualifications: Ph.D. in Computer Science, Machine Learning, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications. Proficiency
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TITLE: Applied Scientist II - AMZ9970940
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $172K-$223K
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10425611/applied-scientist-ii-amz9970940
EXCERPT: Applied Scientist II - AMZ9970940 New York, New York, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Applied Scientist II Job Location: New York, New York Job Number: AMZ9970940 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. 40 hours / week, 8:00am-5:00pm, Salary Range: $172,400/year to $223,400/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or
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TITLE: Radiological Health - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: Philippines (unspecified)
SALARY: $8-$8/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4633494101
EXCERPT: Radiological Health - Freelance AI Trainer Project Philippines Are you a radiological health expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for radiological health and health physics specialists who live and breathe radiation protection, dosimetry, nuclear instrumentation, radiation detection and measurement, radiobiology, medical imaging physics, environmental radiation monitoring, and regulatory compliance. You'll challenge advanced language models on topics like ALARA principles, shielding calculations, decay chains, internal and external dose assessments, radioactive waste management, contamination control, and emergency response planning-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on clinical, environmental, and nuclear safety scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in health physics, radiological sciences, nuclear engineering, medical physics, or a closely related field is ideal; board certification (e.g., CHP, ABHP), applied research, regulatory consulting, or hands‑on experience in radiological safety signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your radiological health expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a
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TITLE: Economist III - AMZ9511152
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $227K-$237K
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10425641/economist-iii-amz9511152
EXCERPT: Economist III - AMZ9511152 New York, New York, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Economist III Job Location: New York, New York Job Number: AMZ9511152 Position Responsibilities: Work with senior management and other scientists on key business problems faced in cloud computing and operations. Utilize methods at the frontier of economics and time-series econometrics to develop formal models to understand the past and the present, predict the future, and identify relevant risks and opportunities. Build econometric models of dynamic systems using Bayesian times-series statistical methods and leveraging big data tools. Develop and implement statistical models for risk assessment and capacity management in cloud infrastructure. Formalize problems using rigorous science to solve business issues. 40 hours / week, 8:00am-5:00pm, Salary Range: $226,782/year to $236,900/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Ph.D. in Economics or a related field and five years of research or work experience in the job offered or a related occupation. Must have five years of research or work experience in the following skill(s): (1) time series forecasting; and (2) Bayesian econometrics, panel data, and high-dimensional problems. Must have one
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TITLE: Head of Data Science
EMPLOYER: Function Health
LOCATION: United States - Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-09
APPLY_URL: https://jobs.gem.com/function-health/am9icG9zdDoETGmgVE30moM1-pCjLWDD
EXCERPT: Head of Data Science United States - Remote About Us: Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond the limitations of traditional care and enabling comprehensive, continuous insight into human biology. Function has been recognized as one of Fast Company's Most Innovative Companies of 2024 , and is venture-backed by Redpoint and other leading venture firms. Over half a million members have joined Function to take control of their health. Through comprehensive lab testing, MRI and CT imaging, longitudinal data, and guidance from AI and clinical teams, Function gives members a complete and continuous view of their health - and the clarity to act on it. Through acquisitions across imaging, mobile phlebotomy, and supplement tracking and optimization, Function is building an integrated health platform that spans the full path from testing to health clarity to daily action. Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent. We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset. Function fosters a collaborative and dynamic environment where every day we build the future. Role : We
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TITLE: Applied Scientist III - AMZ9898584
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $167K-$226K
POSTED: 2026-04-28
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10405965/applied-scientist-iii-amz9898584
EXCERPT: Applied Scientist III - AMZ9898584 Boston, Massachusetts, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEVELOPMENT CENTER U.S., INC. Offered Position: Applied Scientist III Job Location: Boston, Massachusetts Job Number: AMZ9898584 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and two years of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting
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TITLE: Senior/Staff Machine Learning Engineer - Health Evaluation - AI Teams (x/f/m)
EMPLOYER: Doctolib
LOCATION: Paris, Paris, France (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-14
APPLY_URL: https://job-boards.greenhouse.io/doctolib/jobs/7527262003
EXCERPT: Senior/Staff Machine Learning Engineer - Health Evaluation - AI Teams (x/f/m) Paris, Paris, France What you'll do At Doctolib, we're on a mission to transform how healthcare is delivered by harnessing the power of AI. As a Senior/Staff Machine Learning Engineer, you'll play a key role in designing, implementing, and scaling the evaluation framework that ensures our AI Health Companion behaves safely, reliably, and helpfully for millions of patients and practitioners. You'll join a cross-functional team of Machine Learning Engineers, Product Engineers, and Medical Experts to build robust evaluation pipelines for agentic AI systems - models capable of reasoning, planning, and interacting with complex healthcare data. Your responsibilities include, but are not limited to: - Define and own the evaluation strategy for our AI agentic system - metrics, protocols, datasets, and tooling - Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations - Run systematic experiments to assess reasoning, factuality, robustness, and user experience - Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement - Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices About our tech environment - Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components - Our stack is composed of Rails, TypeScript,
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TITLE: Senior Data Scientist, Experimentation & Causal Inference
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $181K-$318K
POSTED: 2026-06-05
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200666485/senior-data-scientist-experimentation-causal-inference?team=MLAI
EXCERPT: Senior Data Scientist, Experimentation & Causal Inference Cupertino, United States of America At Apple, some of the most important decisions are shaped by the quality of the evidence behind them. We are seeking a Senior Data Scientist, Experimentation & Causal Inference to help advance the scientific foundations of measurement, experimentation, and organizational learning across Apple Services. This role sits at the intersection of statistics, causal inference, experimental design, and decision-making. You will help define how success is measured, how experiments aredesigned, and how causal evidence is generated and accumulated across the organization. Beyond individual experiments, you will help build the next generation of experimentation intelligence by transforming isolated experiment outcomes into reusable scientific knowledge. As Apple expands investments in AI-powered experiences and intelligent systems, this role will also help evolve the experimentation methodologies used to evaluate increasingly complex product behaviors and long-term user outcomes. The ideal candidate combines deep statistical expertise with strong scientific curiosity and a passion for developing rigorous methodologies that improve how organizations learn and make decisions at scale. As a Senior Data Scientist, Experimentation & Causal Inference, you will own key components of the experimentation science ecosystem. You will work across product, growth, engineering, data engineering, and strategic science teams to define measurement frameworks, experiment methodologies, statistical standards, and causal inference approaches that improve organizational decision quality. This role extends well beyond traditional A/B testing. You will help establish experimentation standards, develop advanced causal methodologies, build experimentation intelligence systems, and drive cross-experiment learning initiatives. You will
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TITLE: Intern, Biostatistics
EMPLOYER: Alkermes
LOCATION: Waltham, MA, United States (hybrid)
SALARY: $30-$32/hr
POSTED: 2026-02-19
K401_MATCH: yes (not source-backed)
APPLY_URL: https://hbap.fa.us1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/13874
EXCERPT: Intern, Biostatistics Waltham, MA, United States The Summer Intern will work closely with senior biostatisticians on statistical methodology and support for quantitative decision-making implementation in clinical trials. Full time summer internship lasts about 10-12 weeks. Starting time is flexible around May or June 2026. This can be a remote or hybrid internship onsite 3x a week in our Waltham, MA office. Basic Qualifications: Ph.D. candidate who has passed the qualifying exam in biostatistics, statistics, applied mathematics, or data sciences and is not expected to graduate prior to completion of the Summer 2026 internship. Have effective oral and written communication skills. Sufficient programming skills in SAS and/or R /or Python. Preferred Qualifications: Proficient in R and had experience of R Shiny in developing, testing and deploying dashboards about statistical metrics Be able to conduct literature review independently. Experience in the development and application of advanced statistical methodologies or computational tools, with an emphasis on multiplicity adjustment techniques for Position 1 or Bayesian analytical approaches for Position 2. Experience with performing data analysis and simulations. Excellent in presenting project work to internal and external stakeholders. The hourly rate for this position ranges from $30/hr to $32/hr. Exact compensation may vary based on skills, training, knowledge, and experience. Additional details can be found on our careers website: www.alkermes.com/careers#working-here
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TITLE: Machine Learning Scientist, Marketing
EMPLOYER: New York Times Company
LOCATION: New York, NY (unspecified)
SALARY: $121K-$131K
POSTED: 2026-05-04
K401_MATCH: yes (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/thenewyorktimes/jobs/4687007005
EXCERPT: Machine Learning Scientist, Marketing New York, NY The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role, Mission or Department Overview The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company. The Algorithmic Targeting team (ALTA) is expanding its focus to promote subscriber growth through prescriptive machine learning (ML) on paid and owned media surfaces. We use methodologies like causal ML, inverse gap weighting and hierarchical bayesian modeling and deploy them at scale. We are looking for a Machine Learning Scientist to join ALTA and contribute to all steps of the ML development and deployment cycle. You will lead the development of models that improve our marketing spend across external platforms and owned channels. You will report to our Director of Machine Learning. Responsibilities: - You will reframe
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TITLE: Senior Machine Learning Scientist
EMPLOYER: Adaptive Biotechnologies Corp
LOCATION: Remote (WFH) (remote)
SALARY: $145K-$217K
POSTED: 2026-03-17
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.adaptivebiotech.com/career-listings/listing?gh_jid=8464809002
EXCERPT: Senior Machine Learning Scientist Remote (WFH) At Adaptive, we're Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated. As an Adapter, you'll have the opportunity to make a difference in people's lives. With Adaptive, you'll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application. It's time for your next chapter. Discover your story with Adaptive. Position Overview Adaptive Biotechnologies is seeking a Senior Machine Learning Scientist to contribute to the development of models for TCR-pMHC specificity prediction. In this role, you will design, implement, train, and evaluate models that predict interactions between T cell receptors and peptide-MHC complexes, with a focus on integrating sequence and structural information. Working as part of a collaborative modeling team, you will implement new modeling ideas, rigorously test their performance, and iterate quickly to improve predictive accuracy. This work leverages large-scale proprietary immune receptor datasets and shared GPU infrastructure to support rapid experimentation and model development. You will work closely with computational scientists, immunologists, and machine learning engineers across the organization. The team combines expertise in immune biology, experimental assay development, and large-scale machine learning, enabling a tight feedback loop between model development and experimental data generation. Model outputs often highlight gaps in available data or suggest new experimental directions, while newly generated datasets provide additional signal for improving and validating predictive models. Models developed in this role
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TITLE: SR PRINCIPAL QLTY & RELIABILITY ENGINEER
EMPLOYER: TE Connectivity
LOCATION: Job Country Mexico (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.te.com/job/HERMOSILLO-SONORA-SR-PRINCIPAL-QLTY-&-RELIABILITY-ENGINEER-SON-83118/146711-en_US/
EXCERPT: SR PRINCIPAL QLTY & RELIABILITY ENGINEER Job Country Mexico At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview The Staff Reliability & Testing Engineer is a senior technical contributor ,8+ years of Experience in all aspects of reliability engineering for automotive electronic or mechatronics products from reliability estimation to reliability calculation and risk identification across the full product development lifecycle. This role requires deep expertise in reliability modeling, reliability testing, reliability calculating and failure analysis, as well as the ability to translate product characteristics and customer expectations into robust reliability strategies and validation plans. Job Requirements 1. Deep Reliability Engineering Expertise Minimum 8+ years of hands‑on experience in reliability engineering, covering: Reliability modeling and prediction Reliability strategy and planning Accelerated and destructive reliability testing Reliability failure analysis and corrective action Reliability calculations such as FIT, MTTF, MTBF Statistical analysis (e.g., Weibull analysis, chi‑square methods, basic Bayesian concepts) Strong ability to connect test data, field data, and engineering judgment to drive data‑based reliability decisions. 2. Reliability Strategy & Test Plan Ownership Independently define and lead end‑to‑end reliability strategies aligned with: Product architecture, materials, and operating environmen
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TITLE: Senior ML Engineer, LLM / VLM Distillation
EMPLOYER: Waymo
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $213K-$263K
POSTED: 2026-04-27
APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7858937
EXCERPT: Senior ML Engineer, LLM / VLM Distillation Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Research Director of AI Foundations. You will: - Work on distillation from large foundation models to smaller real-time models. - Explore LLM/VLM distillation recipes to maximally transfer the quality gains from teachers. - Customize distillation data and
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TITLE: Data Analyst
EMPLOYER: Truemed
LOCATION: Los Angeles, CA or Austin, TX (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-07
APPLY_URL: https://jobs.ashbyhq.com/truemed/31a9b2fd-cff8-44a9-adee-503fd103cc22
EXCERPT: Data Analyst Los Angeles, CA or Austin, TX About Truemed Our mission is to reverse chronic illness back to 1970s levels and make Americans healthy again. We will do this by shifting hundreds of billions of dollars away from our current broken healthcare system, and towards effective lifestyle interventions and prevention. Today's healthcare system spends less than 3% of the $4.3T in annual spending on prevention. This has to change. Today, 95% of all medical costs go to treating illness. Our goal is to empower people to invest in healthy habits today rather than treating illness in the future. We do this by supporting these 5 habits that research shows are tied to significantly improved health outcomes: 1. Eating healthy food 2. Getting an adequate quantity and quality of sleep 3. Increasing movement and exercise and reducing sedentary behavior 4. Reducing chronic stress 5. Increasing sunlight and minimizing environmental toxins Truemed enables patients to use pretax HSA/FSA funds to buy healthy food, exercise equipment, and supplements. We support brands like Peloton, Eight Sleep, Momentous, and hundreds of others. We're building the infrastructure that allows health and wellness merchants to accept the $150+ billion tied up in HSA and FSA accounts. By allowing consumers to spend these pre-tax dollars on goods that make them healthier, we'll incentivize consumers to invest in their health and begin to reverse the explosion in chronic illness that's plagued the US for the last 50 years. Why This Role Matters • Truemed's GTM and Operations teams
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TITLE: Economist , Economic Decision Science
EMPLOYER: Amazon
LOCATION: London, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-14
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10390752/economist-economic-decision-science
EXCERPT: Economist , Economic Decision Science London, England, GBR We are looking for a Economist to work on exciting and challenging business problems related to Amazon Retail's worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon's vast product assortment globally. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities * Work on a challenging problem that has the potential to significantly impact Amazon's business position * Develop econometric models and experiments to measure the customer and financial impact of Amazon's product assortment * Collaborate with other scientists at Amazon to deliver measurable progress and change * Influence business leaders based on empirical findings Basic Qualifications: - PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent - Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Preferred Qualifications: - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Experience conducting research on a
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TITLE: Senior Applied Scientist, HST Health Evaluation
EMPLOYER: Amazon
LOCATION: Bengaluru, Karnataka, IND (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10385936/senior-applied-scientist-hst-health-evaluation
EXCERPT: Senior Applied Scientist, HST Health Evaluation Bengaluru, Karnataka, IND Amazon Health Services (One Medical) About Us: At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Key job responsibilities • Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical • Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) • Optimize and fine-tune models for production deployment, including model distillation for improved latency • Drive scientific innovation while maintaining a strong focus on practical business outcomes • Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits • Contribute to the broader Amazon Health scientific community and help shape our technical roadmap Basic Qualifications: - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning
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TITLE: Applied Scientist, Private Brands Discovery
EMPLOYER: Amazon
LOCATION: Vancouver, British Columbia, CAN (unspecified)
SALARY: CAD 149K-249K
POSTED: 2026-01-08
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/3155455/applied-scientist-private-brands-discovery
EXCERPT: Applied Scientist, Private Brands Discovery Vancouver, British Columbia, CAN The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon's own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon's own brands and serve as a beacon for discovery solutions across Amazon. This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities - Experience in causal ML and treatment effect estimation,
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TITLE: Senior Data Quality Analyst
EMPLOYER: Komodo Health
LOCATION: New York, NY (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-14
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/komodohealth/jobs/8549756002
EXCERPT: Senior Data Quality Analyst New York, NY We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That's why we built the Healthcare Map - the industry's largest, most complete, precise view of the U.S. healthcare system - by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare's most complex questions for our partners. Across the healthcare ecosystem, we're helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease - and enjoy the journey along the way. The Opportunity at Komodo Health Quality is core to Komodo Health's mission to reduce the global burden of disease. As we scale the Healthcare Map® and AI-driven products, the need for independent, rigorous data quality oversight is critical. We're not hiring a traditional QA or testing specialist. We're looking for an analytically rigorous, detail-oriented
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TITLE: Applied Scientist, Amazon Private Brands
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
SURROGACY_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10394064/applied-scientist-amazon-private-brands
EXCERPT: Applied Scientist, Amazon Private Brands Seattle, Washington, USA The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon's own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon's own brands and serve as a beacon for discovery solutions across Amazon. This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities Key job responsibilities - Experience in causal ML and treatment
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TITLE: Senior Health Consultant
EMPLOYER: Marsh McLennan
LOCATION: Vancouver - Burrard (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-12
K401_MATCH: yes (not source-backed)
APPLY_URL: https://mmc.wd1.myworkdayjobs.com/MMC/job/Vancouver---Burrard/Senior-Health-Consultant_R_345167
EXCERPT: Senior Health Consultant Vancouver - Burrard posted: Posted 30+ Days Ago
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TITLE: Senior Economist , Economic Decision Science
EMPLOYER: Amazon
LOCATION: London, England, GBR (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-09
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10387171/senior-economist-economic-decision-science
EXCERPT: Senior Economist , Economic Decision Science London, England, GBR We are looking for a Senior Economist to work on exciting and challenging business problems related to Amazon Retail's worldwide product assortment. You will build innovative solutions based on econometrics, machine learning, and experimentation. You will be part of a interdisciplinary team of economists, product managers, engineers, and scientists, and your work will influence finance and business decisions affecting Amazon's vast product assortment globally. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities * Work on a challenging problem that has the potential to significantly impact Amazon's business position * Develop econometric models and experiments to measure the customer and financial impact of Amazon's product assortment * Collaborate with other scientists at Amazon to deliver measurable progress and change * Influence business leaders based on empirical findings Basic Qualifications: - PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent - Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Preferred Qualifications: - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Experience conducting research
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TITLE: Senior Consultant, Healthcare Consulting – Epidemiology
EMPLOYER: Clarivate
LOCATION: 3 Locations (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-29
APPLY_URL: https://clarivate.wd3.myworkdayjobs.com/Jobs/job/Remote-United-States-of-America/Senior-Consultant--Healthcare-Consulting---Epidemiology_JREQ135659
EXCERPT: Senior Consultant, Healthcare Consulting – Epidemiology 3 Locations posted: Posted 14 Days Ago
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TITLE: Senior Applied Scientist
EMPLOYER: Amazon
LOCATION: San Francisco, California, USA (unspecified)
SALARY: $192K-$260K
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10425138/senior-applied-scientist
EXCERPT: Senior Applied Scientist San Francisco, California, USA Amazon is seeking a world-class Sr. Applied Scientist to lead the development of next-generation object tracking systems for autonomous robots operating at Amazon's scale. In this role, you will architect robust, real-time tracking pipelines that fuse information across multiple sensor modalities - combining the rigor of classical estimation theory with the power of modern learning-based approaches to deliver tracking systems that are accurate, reliable, and scalable in complex, dynamic environments. Amazon is on a mission to redefine the future of automation - and we're looking for exceptional talent to help lead the way. We are building the next generation of advanced robotic systems that seamlessly blend cutting-edge AI, sophisticated control systems, and novel mechanical design to create adaptable, intelligent automation solutions capable of operating safely alongside humans in dynamic, real-world environments. We leverage the power of machine learning, artificial intelligence, and advanced robotics to solve some of the most complex operational challenges at a scale unlike anywhere else in the world. Our fleet of robots spans hundreds of facilities globally, working in sophisticated coordination to deliver on our promise of customer excellence - and we're just getting started. As a Sr. Applied Scientist working on Tracking and Sensor Fusion, you will own the design and delivery of tracking systems that enable robots to maintain persistent, accurate awareness of objects, humans, and dynamic elements in their environment. You will bring deep expertise in multi-sensor fusion, Bayesian estimation, and Kalman filtering - paired with a
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TITLE: Nurse Practitioner (Contractor, 1099)
EMPLOYER: Function Health
LOCATION: United States - Remote (remote)
SALARY: Not disclosed
POSTED: 2026-05-15
APPLY_URL: https://jobs.gem.com/function-health/am9icG9zdDphq97fvNFNFIf1-JCRbQi9
EXCERPT: Nurse Practitioner (Contractor, 1099) United States - Remote Company Overview Function Health is building the AI operating system for human health-designed to help people live 100 healthy years. We use AI to unify complex health data, generate personalized insights, and enable a shift from reactive care to proactive, data-driven health management. As part of this vision, Function Health acquired Ezra, a leader in direct-to-consumer MRI-based cancer screening. Ezra operates as a core part of Function Health, with a mission to detect cancer early for everyone in the world by leveraging MRI and Artificial Intelligence to make cancer screening fast, accurate, and affordable. Together, Function and Ezra combine advanced diagnostics, deep biomarker testing, longitudinal health data, MRI-based screening, and AI-enabled insights to give members a more comprehensive understanding of their health and help them take action earlier. Function Health has been recognized as one of Fast Company's Most Innovative Companies and is backed by Andreessen Horowitz (a16z) . With hundreds of thousands of members and $298M in Series B funding, we are entering our next phase of growth and continuing to push the boundaries of what AI can unlock in healthcare. Our Mission at Ezra Our mission at Function/Ezra is to detect cancer early for everyone in the world. We offer a direct-to-consumer cancer screening service that leverages MRI/CT and Artificial Intelligence to make cancer screening fast, accurate and affordable. We are fully operational in nearly every US state with an MRI and CT screening program for early detection of cancer
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TITLE: Chief Medical Officer
EMPLOYER: Insitro
LOCATION: South San Francisco, CA (unspecified)
SALARY: $450K-$480K
POSTED: 2026-05-28
PARENTAL_LEAVE_WEEKS: 16 (not source-backed)
K401_MATCH: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/insitro/7fb2ea4d-3e47-4618-a183-9dd88323dc89
EXCERPT: Chief Medical Officer South San Francisco, CA The Opportunity insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics-whether small molecules, biologics, or oligos. With programs in key therapeutic areas like MASH, ALS, obesity, and dry AMD advancing toward the clinic, and our first IND submission for MASH slated for the second half of this year, we are at a pivotal inflection point. Since its founding in 2018, insitro has raised approximately $800M from capital raises and discovery partnerships with pharmaceutical companies, including Bristol Myers Squibb and Eli Lilly. We are seeking an innovative, highly quantitative, and data-driven Chief Medical Officer (CMO) to architect and lead our end-to-end clinical development strategy. This role is paramount to ensuring we fully leverage our AI/ML capabilities to maximize the probability of clinical success and accelerate timelines. A key success factor in this role will be a proven track record of designing and leading the execution of Phase 1 trials bridging the gap between translational medicine and the clinic and successfully designing and delivering Phase 2 trials, establishing human POC. You will achieve this by leveraging our AI/ML capabilities to architect innovative trial designs that optimize patient selection and dosing from the outset. By imbuing translational thinking into our discovery efforts and working with our discovery teams, you will ensure that the clinical foundations for
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TITLE: Data Engineer - Health Sensing
EMPLOYER: Apple
LOCATION: Sunnyvale, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2025-04-30
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200602168/data-engineer-health-sensing?team=HRDWR
EXCERPT: Data Engineer - Health Sensing Sunnyvale, United States of America We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support large-scale health studies, clinical validations, and advanced analytics. Working closely with researchers, clinicians, and product teams, we ensure health data is accurate, accessible, and actionable - enabling science and product innovation that can improve lives. We are looking for a passionate and experienced Data Engineer to join our team focused on powering cutting-edge health research through scalable and reliable data systems. In this role, you'll design and build high-throughput, distributed data pipelines that ingest, process, and transform large volumes of sensor data collected from health studies. Your work will directly contribute to the advancement of health research and product development at Apple. - Design and develop scalable, parallelized data systems to process complex, time-series health data captured from consumer-grade sensors. - Implement robust ETL pipelines using distributed computing frameworks such as Apache Spark to ingest and transform binary and proprietary data formats. - Collaborate with study stakeholders to gather requirements and contribute to the study design process, ensuring data architecture supports evolving research needs. - Build tools and dashboards to visualize health data and support data exploration, analysis, and research insights. - Work closely with cross-functional teams including Software, Algorithms, and Quality Engineering to support design, integration, testing, and deployment of health data solutions. - Own and evolve data architecture
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TITLE: Quantitative Researcher - Macro
EMPLOYER: Point72 Asset Management
LOCATION: New York (unspecified)
SALARY: $150K-$200K
POSTED: 2024-08-15
APPLY_URL: https://boards.greenhouse.io/point72/jobs/7297612002?gh_jid=7297612002
EXCERPT: Quantitative Researcher - Macro New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies. Job Description - Develop systematic trading models across FX, commodities, fixed income, and equity markets - Alpha idea generation, backtesting, and implementation - Assist in building, maintenance, and continual improvement of production and trading environments - Evaluate new datasets for alpha potential - Improve existing strategies and portfolio optimization - Execution monitoring - Be a core contributor to growing the investment process and research infrastructure of the team Desirable Candidates - Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus - Experience in quantitative trading, ideally in FX or futures - Experience with alpha research, portfolio construction and optimization - Experience building statistical/technical, fundamental, and data driven signals - Experience synthesizing predictive signals for both cross-sectional and time-series models - Strong experience with data exploration, dimension reduction, and feature engineering - Thorough understanding of and comfort using a variety of regression techniques-including OLS, MLS, Ridge, Lasso, and Bayesian inference-as well as techniques for dealing with
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TITLE: QMS Training Coordinator
EMPLOYER: Neko Health
LOCATION: Stockholm, Sweden (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-13
APPLY_URL: https://jobs.ashbyhq.com/neko-health/de4af55c-e02c-4623-a855-73f1256d33a3
EXCERPT: QMS Training Coordinator Stockholm, Sweden Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives. Role Purpose You will take ownership of our learning management system, Sana (the platform we use to assign, track, and record all quality-critical training across the organisation), keep content current as our processes evolve, and make sure people complete what they need to complete. The best version of this role is not reactive - it is someone who spots a process change coming, already has the training updated, and never needs to scramble before an audit. What You'll Deliver - Every employee enrolled in the right training from day one - role assignments configured correctly so there is no manual catching up when someone joins or changes role. - Training that gets ahead of process changes - working with process owners early so content is updated and completions are confirmed before a QMS change goes live, not after. - Completion that actually happens - you keep an eye on where people are falling behind, work with
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TITLE: Quality Management System and Evidence Control Specialist
EMPLOYER: Google
LOCATION: Mountain View, CA, USA (unspecified)
SALARY: $144K-$209K
POSTED: 2026-06-04
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckc9iQMeDwZ6lcvF77EdQsW95KjYbp9-LeMG9mrvOl4aJEjsACxwdTOd9Rd3KxeIJQwFYquCmKHznDK6vY5P81lSjN5rf7P70JGz6-k35sm5csNZGnwQJR1vPLRy8Mw%3D%3D_V2&loc=US&title=Quality+Management+System+and+Evidence+Control+Specialist
EXCERPT: Quality Management System and Evidence Control Specialist Mountain View, CA, USA The Digital Health Regulatory Quality and Strategy (DHRQS) team serves as the advisors helping Google navigate the complex and evolving global health regulatory landscape. Our team is at the forefront of defining how AI can safely and effectively transform healthcare. We focus on three primary pillars. We provide the regulatory strategy and operational infrastructure to help product teams across Google build and launch regulated products globally. We safeguard Google's core platforms and general-purpose models from being unintentionally regulated or exposed to liability, ensuring a clear separation between regulated features and core business services and we actively partner with global health authorities to shape international standards and national policies, ensuring AI regulations balance innovation with safety. In this role, you will operate at the nexus of the health ecosystem, technological advancement, and regulatory expertise to steer Google's platforms in supporting billions of individuals throughout their health experiences. You will get to work with the engineers and product builders along with clinicians who are passionate about applying technology in health.Google for Health is a company-wide effort to help billions of people be healthier. We work toward this vision by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally - with high-quality information and tools to help people manage their health and wellbeing, solutions
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TITLE: Tech Lead Manager, Foundation Models
EMPLOYER: Waymo
LOCATION: Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA (unspecified)
SALARY: $298K-$368K
POSTED: 2026-06-01
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7974331
EXCERPT: Tech Lead Manager, Foundation Models Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Research Director . You will: - Lead and manage a team to build large-scale foundation models, powering many offboard and onboard applications for the Waymo Driver - Set the technical direction
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TITLE: Applied Scientist, Stores Economics & Science (SEAS)
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-06-11
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10447054/applied-scientist-stores-economics-science-seas
EXCERPT: Applied Scientist, Stores Economics & Science (SEAS) Seattle, Washington, USA Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2026, we are focused on economics and science in areas related to (1) lowering cost-to-serve, (2) optimizing selection, and (3) emerging machine learning. We also have some ongoing and highly-leveraged collaborations that help partner teams inside Amazon short-circuit months of R&D or otherwise look around corners. We are looking for an Applied Scientist to build and deliver state-of-the-art science and engineering solutions to improve our Stores business. In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models, benchmarks, and services. Graduate education or hands-on experience in machine learning, optimization, causal inference, Bayesian
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TITLE: Senior Applied AI Engineer
EMPLOYER: Function Health
LOCATION: United States - Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
APPLY_URL: https://jobs.gem.com/function-health/am9icG9zdDpObAAp9yvLucHijYMqL_9R
EXCERPT: Senior Applied AI Engineer United States - Remote Company Overview: Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company's Most Innovative Companies of 2024 , and is venture-backed by Andreessen Horowitz (a16z) . Hundreds of thousands of members have joined Function to take control of their health. Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives. Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent. We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset. Function fosters a collaborative and dynamic environment where every day we build the future. Role: We sit on something rare: a fast-growing longitudinal health dataset spanning 50M+ lab tests, 160+ biomarkers per member, advanced imaging, and wearable signals, captured continuously rather than once a year at a checkup. You'll own the agentic system that turns a member's health data into
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TITLE: Hardware Health
EMPLOYER: Microsoft
LOCATION: US (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-25
K401_MATCH: yes (not source-backed)
APPLY_URL: https://apply.careers.microsoft.com/careers/job/1970393556629383
EXCERPT: Hardware Health US
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TITLE: Staff Research Scientist, Perception Research
EMPLOYER: Waymo
LOCATION: Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA (unspecified)
SALARY: $251K-$310K
POSTED: 2026-06-02
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7975025
EXCERPT: Staff Research Scientist, Perception Research Mountain View, CA, USA ; Kirkland, WA, USA ; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will: - Use Multimodal LLMs to perform 3D detection - Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources. -
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TITLE: Principal Applied Scientist - AMZ9794093
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $199K-$269K
POSTED: 2026-05-18
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10422863/principal-applied-scientist-amz9794093
EXCERPT: Principal Applied Scientist - AMZ9794093 Seattle, Washington, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Principal Applied Scientist Job Location: Seattle, Washington Job Number: AMZ9794093 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and seven years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and five years of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting the analysis
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TITLE: Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
EMPLOYER: Lawrence Livermore National Laboratory
LOCATION: Livermore, CA, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-06-10
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://jobs.smartrecruiters.com/LLNL/3743990012255036-uncertainty-quantification-for-surrogate-models-postdoctoral-researcher
EXCERPT: Uncertainty Quantification for Surrogate Models Postdoctoral Researcher Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description: We have an immediate opening for a Postdoctoral Researcher to perform research and development as well as verification and validation of uncertainty quantification (UQ) methods for surrogate models. Deep Gaussian processes as well as scalable Gaussian processes are of particular interest. You will work independently as a technical expert and will interact with other researchers in statistics, UQ, applied mathematics, and machine learning/AI. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Principal Directorate. In this role you will Conduct basic research in efficient Gaussian processes to understand conditions under which their resulting uncertainties agree with other UQ metrics for AI surrogate models. Collaborate with others in a multidisciplinary team environment to accomplish research goals including industrial and academic partners. Develop, implement, validate, and document specialized analysis software tools and models as required. Organize, analyze and publish research results in peer-reviewed scientific or technical journals and
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TITLE: Applied Scientist II - AMZ27057.1
EMPLOYER: Amazon
LOCATION: Boston, Massachusetts, USA (unspecified)
SALARY: $162K-$193K
POSTED: 2026-05-13
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10418988/applied-scientist-ii-amz27057-1
EXCERPT: Applied Scientist II - AMZ27057.1 Boston, Massachusetts, USA Employer: Amazon Development Center U.S., Inc. Position: Applied Scientist II - AMZ27057.1 Location: Boston, MA Multiple Positions Available: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. (40 hours / week, 8:00am-5:00pm, Salary Range $161803 - $193200) Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of research or work experience in a related occupation as equivalent to the Master's degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis
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TITLE: Health Sensing ML Engineer
EMPLOYER: Apple
LOCATION: Cupertino, United States of America (unspecified)
SALARY: $147K-$272K
POSTED: 2026-01-15
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.apple.com/en-us/details/200641454/health-sensing-ml-engineer?team=HRDWR
EXCERPT: Health Sensing ML Engineer Cupertino, United States of America The Health Sensing team builds outstanding technologies to support our users in living their healthiest, the happiest lives by providing them with objective, accurate, and timely information about their health and well-being. As part of the larger Sensor SW & Prototyping team, we develop algorithms for a variety of health sensors, including PPG, accelerometer, ECG. In this role, you will be at the forefront of developing ML algorithms for health sensing applications and ensuring the efficient evaluation of these models to be in production at scale. You will interact closely with ML engineers, clinicians, software and hardware engineers. You will deliver solutions on time and with high quality standing up to the standards of a customer facing product. Develop and implement machine learning and deep learning models using health sensing data Analyze large-scale health data from wearable sensors to extract significant insights Work across the entire ML development cycle, from setting up data pipelines to model evaluation Analyze model behavior and finding weaknesses; drive design decisions with in-depth failure analysis Build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year projects Work multi-functionally to bring algorithms to real-world applications; this can span a wide range of partnerships with clinical authorities and engineering specialists across HW and SW Minimum Qualifications: BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience Proven experience in developing machine learning and
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TITLE: Senior Data Scientist - GTM Data
EMPLOYER: PandaDoc
LOCATION: Remote (USA) (remote)
SALARY: $165K-$185K
POSTED: 2026-05-11
APPLY_URL: https://job-boards.greenhouse.io/pandadoc/jobs/7906530
EXCERPT: Senior Data Scientist - GTM Data Remote (USA) The Opportunity As a Senior GTM Data Scientist at PandaDoc, you will be a critical analytical partner to our Go-To-Market (GTM) teams. You will embed yourself in our GTM data to uncover insights and drive actionable recommendations across Sales, Marketing, and Customer Success. The core of this role is to design, build, and maintain predictive machine learning models that optimize customer acquisition, revenue attribution, and retention efforts. You will apply analytical rigor and methodologies like experimentation and causal inference to provide GTM leadership with a reliable understanding of business efficiency and impact. You will report to the Director of GTM Data and act as a reliable thought partner to Marketing, Sales, Customer Success, and Finance. What You'll Do Predictive Modeling & GTM Strategy - Model Development: Design, build, and deploy foundational GTM models, including Customer Lifetime Value (LTV) forecasting, Marketing and Sales Attribution, and Propensity models (e.g., propensity to convert, churn, or expand). - GTM Experimentation: Partner with GTM teams to design and analyze controlled experiments across various channels, including website A/B testing, pricing experiments, and marketing campaign effectiveness. You will use methodologies such as AB, multivariate, Bayesian, and Causal Inference. - Deep Dive Analysis: Execute proactive, complex analytical deep dives to discover latent user behavior and root causes of changes in GTM metrics, translating findings into actionable recommendations. - Marketing Mix Modeling (MMM): Support the interpretation of MMM results to help maximize marketing ROI and assess the feasibility of future in-house
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TITLE: Senior Machine Learning Scientist (Sensor Intelligence)
EMPLOYER: Whoop
LOCATION: Boston, MA (unspecified)
SALARY: $150K-$215K
POSTED: 2026-04-22
APPLY_URL: https://jobs.lever.co/whoop/0a8999cd-e413-47e8-8091-d031e53ce4a1
EXCERPT: Senior Machine Learning Scientist (Sensor Intelligence) Boston, MA At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing and scaling machine learning systems that power the most foundational health features at WHOOP. You'll enable next-generation AI coaching at Whoop, developing robust algorithms for constrained edge and cloud environments,ultimately delivering meaningful and personalized coaching to millions of members. At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing and scaling machine learning systems that power the most foundational health features at WHOOP. You'll enable next-generation AI coaching at Whoop, developing robust algorithms for constrained edge and cloud environments,ultimately delivering meaningful and personalized coaching to millions of members. RESPONSIBILITIES: - Research, architect, and develop ML systems for member coaching distributed between edge hardware and the cloud - Collaborate with machine learning and edge ML engineers to translate prototypes into production - Partner with product and user
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TITLE: Software Engineer, Hardware Health
EMPLOYER: OpenAI
LOCATION: San Francisco, California, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-05-11
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/openai/d7efc55b-2fde-4d3f-ae34-2e467f02a57c
EXCERPT: Software Engineer, Hardware Health San Francisco, California, United States About the Team The Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI's global compute fleet. Our mission is to maximize healthy, usable compute across accelerator vendors, generations, cloud providers, and regions through reliable health signals, automated remediation, and scalable operational tooling. We build the systems that observe, detect, remediate, and verify hardware issues across GPUs, CPUs, networking, and platform infrastructure, enabling frontier model training and inference workloads to run reliably at hyperscale. We are the last line of defense for the success of OAI's production and research workloads. About the Role On the Hardware Health and Observability team, you'll build critical infrastructure that keeps OpenAI's largest compute clusters healthy and operational at scale. Even small numbers of unhealthy systems can impact large-scale training and inference workloads. This team focuses on minimizing downtime, improving fleet efficiency, and ensuring compute resources remain continuously available to researchers and product teams. Engineers on this team own problems end-to-end, from defining health signals and debugging failures to building automated remediation systems that operate across millions of GPUs globally. In this role, you will: - Define and maintain health signals across GPUs, CPUs, networking, and platform infrastructure. - Build and evolve health checks that detect, remediate, and verify failures at scale. - Ensure critical health checks execute with minimal latency to maximize workload uptime. - Investigate hardware failures and system-level issues across large-scale compute environments. - Own node lifecycle workflows including drain, quarantine,
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TITLE: Senior Analytics Engineer
EMPLOYER: Intercom
LOCATION: Dublin, Ireland (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-13
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/intercom/jobs/7807847
EXCERPT: Senior Analytics Engineer Dublin, Ireland Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What is the opportunity? Fin's AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards
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TITLE: ML Postdoc Researcher - Healthcare AI Innovation
EMPLOYER: Truveta
LOCATION: Seattle, WA (unspecified)
SALARY: $50-$60/hr
POSTED: 2026-04-21
APPLY_URL: https://job-boards.greenhouse.io/truveta/jobs/5978375004
EXCERPT: ML Postdoc Researcher - Healthcare AI Innovation Seattle, WA ML Postdoc Researcher - Healthcare AI Innovation Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote About Truveta Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 1 20 million patients (which represents over a third of the US population) , we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes. This Opportunity We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work
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TITLE: Staff GTM Data Scientist
EMPLOYER: PandaDoc
LOCATION: Remote (USA) (remote)
SALARY: $190K-$210K
POSTED: 2025-12-18
APPLY_URL: https://job-boards.greenhouse.io/pandadoc/jobs/7483765
EXCERPT: Staff GTM Data Scientist Remote (USA) The Opportunity As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality. You will report to the Director of GTM Data and act as a strategic thought partner to Go-to-Market teams, Marketing, Product, Finance, Design, Engineering, and executive leadership, ensuring alignment between data insights and critical business decisions. What You'll Do Experimentation & Causal Strategy - Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV). - Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers. - Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible. - Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends,
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TITLE: Health Sciences Specialist - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: United States of America (unspecified)
SALARY: $8-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4577614101
EXCERPT: Health Sciences Specialist - Freelance AI Trainer Project United States of America Are you a health sciences expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline clinical workflows for health professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for health sciences specialists who live and breathe human anatomy, physiology, epidemiology, healthcare systems, clinical diagnostics, pharmacology, nutrition, and public health. You'll challenge advanced language models on topics like disease prevention, health promotion, clinical decision-making, evidence-based medicine, patient safety protocols, and healthcare ethics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on clinical scenarios and theoretical health science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in Health Sciences, Public Health, Nursing, or a related healthcare field is ideal; clinical experience, healthcare research, or teaching in health-related disciplines signals fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your health sciences expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your
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TITLE: Software Engineer, Rust
EMPLOYER: Anduril
LOCATION: Broomfield, Colorado, United States (unspecified)
SALARY: $165K-$218K
POSTED: 2026-05-30
APPLY_URL: https://boards.greenhouse.io/andurilindustries/jobs/5150957007?gh_jid=5150957007
EXCERPT: Software Engineer, Rust Broomfield, Colorado, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision - "Any sufficiently advanced technology is indistinguishable from magic" - we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology. WHAT YOU WILL DO: - Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation. -
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TITLE: 2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting
EMPLOYER: Amazon
LOCATION: Seattle, Washington, USA (unspecified)
SALARY: $143K-$193K
POSTED: 2026-04-16
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10394278/2026-fall-applied-science-internship-reinforcement-learning-optimization-machine-learning-united-states-phd-student-science-recruiting
EXCERPT: 2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting Seattle, Washington, USA Unlock the Future with Amazon Science! Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more. At Amazon, we don't just talk about innovation - we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn,
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TITLE: Validation & Verification Lead - SaMD
EMPLOYER: Neko Health
LOCATION: Stockholm, Sweden, Remote (remote)
SALARY: Not disclosed
POSTED: 2026-01-28
APPLY_URL: https://jobs.ashbyhq.com/neko-health/d4c4b327-af93-40d6-bf93-59655bfa4b96
EXCERPT: Validation & Verification Lead - SaMD Stockholm, Sweden, Remote Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives. Neko Health is a Swedish healthcare technology company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Neko's vision is to shift healthcare from reactive treatment toward preventative health and early detection. This requires completely reimagining the patient's experience and incorporating the latest advances in sensors and AI. Neko Health has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is convenient and affordable for the public. The company is based in Stockholm, offering the Neko Body Scan experience at locations in Stockholm, London and Manchester, with over 500 employees. The role We are looking for a Verification & Validation Lead to take ownership of the V&V strategy and execution for our Software as a Medical Device (SaMD) and complex interconnected systems. You will define verification and validation strategies, ensure traceability between requirements and test activities, and drive V&V execution across
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TITLE: Principal Investigator Level 4
EMPLOYER: Northrop Grumman
LOCATION: United States-Colorado-Aurora (unspecified)
SALARY: $142K-$213K
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
RELOCATION_ASSISTANCE: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://ngc.wd1.myworkdayjobs.com/Northrop_Grumman_External_Site/job/United-States-Colorado-Aurora/Principal-Investigator-Level-4_R10229483
EXCERPT: Principal Investigator Level 4 United States-Colorado-Aurora RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. The Multi-Domain Operations, a division within Northrop Grumman's Space Systems Sector is known for pushing the boundaries of innovation, redefining engineering capabilities, and driving advances in various sciences through cutting-edge technology. Our team is chartered by providing the skills, and innovative technologies to develop, design, produce, and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. In this role, the ideal candidate will possess a strong foundational knowledge in software design, emphasizing data ontology, data‑fusion techniques, multi‑processor architectures, mission‑workflow integration, and Artificial Intelligence (AI). The
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TITLE: Senior Data Scientist
EMPLOYER: Virta Health
LOCATION: Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-10
K401_MATCH: yes (not source-backed)
APPLY_URL: https://jobs.ashbyhq.com/virtahealth/d2d6501f-f1ea-4633-8d4f-03a1fc55b2e5
EXCERPT: Senior Data Scientist Remote Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren't working-over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people. ROLE OVERVIEW The Product and Care Team Analytics team is accountable for both pioneering new classes of data that power our business, and ensuring that data is powerful, clear, correct and easy to use throughout the company. The team collaborates closely with the engineering, product development, commercial, and clinical teams to transform data into actionable insights that propel Virta's mission forward. As a Senior Data Scientist, you will play a crucial role in shaping our data-driven decision making processes and in driving impactful insights that advance our mission. This role offers a unique blend of hands-on coding and strategic leadership, working closely in partnership with our Product Development group. You will get a chance to work closely with stakeholders to create impactful data-driven reports and analyses that strengthen Virta's value proposition. RESPONSIBILITIES - Serve as
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TITLE: Principal Investigator Level 5
EMPLOYER: Northrop Grumman
LOCATION: United States-Colorado-Aurora (unspecified)
SALARY: $177K-$266K
POSTED: 2026-05-22
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
RELOCATION_ASSISTANCE: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://ngc.wd1.myworkdayjobs.com/Northrop_Grumman_External_Site/job/United-States-Colorado-Aurora/Principal-Investigator-Level-5_R10229422
EXCERPT: Principal Investigator Level 5 United States-Colorado-Aurora RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. The Multi-Domain Operations, a division within Northrop Grumman's Space Systems Sector is known for pushing the boundaries of innovation, redefining engineering capabilities, and driving advances in various sciences through cutting-edge technology. Our team is chartered by providing the skills, and innovative technologies to develop, design, produce, and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. In this role, the ideal candidate will possess a strong foundational knowledge in software design, emphasizing data ontology, data‑fusion techniques, multi‑processor architectures, mission‑workflow integration, and Artificial Intelligence (AI). The
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TITLE: Senior Data Scientist, Causal Inference
EMPLOYER: Lyft
LOCATION: New York, NY (unspecified)
SALARY: $148K-$185K
POSTED: 2026-06-10
APPLY_URL: https://app.careerpuck.com/job-board/lyft/job/8584688002?gh_jid=8584688002
EXCERPT: Senior Data Scientist, Causal Inference New York, NY At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: - Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. - Own complex domains and develop long-term roadmaps to maximize business impact. - Build statistical pipelines, write production code, and design/analyze experiments. - Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: - Advanced degree in statistics, economics, mathematics, or equivalent industry experience. - 4+ years of industry experience in causal inference or data science. - Proven ability to apply statistics to unstructured problems and deliver measurable results. - Deep technical expertise in causal inference and tackling challenging measurement problems. - Expertise in marketing mix modeling is highly preferred. - Expertise in SQL and experience with large-scale data platforms. - Proficiency in Python and working within production coding environments. Benefits: - Great medical,
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TITLE: Sr Machine Learning Engineer I
EMPLOYER: Axon Enterprise
LOCATION: Seattle, Washington, United States (unspecified)
SALARY: $151K-$241K
POSTED: 2026-03-24
PARENTAL_LEAVE_WEEKS: 10 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 10 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/axon/jobs/7677568003
EXCERPT: Sr Machine Learning Engineer I Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As an Applied Machine Learning Scientist/Engineer focused on Sensor Fusion & Tracking, you will research, design, and validate advanced estimation and probabilistic models that power Dedrone's real-time airspace awareness systems. Your work will shape the mathematical foundations behind multi-sensor fusion, multi-target tracking, and uncertainty modeling in complex environments. This role offers the opportunity to translate cutting-edge theory into deployed systems that support critical safety missions worldwide. What You'll Do Location: Hybrid from Seattle, WA Research and develop advanced multi-sensor fusion and multi-target tracking methodologies. Design probabilistic models and state estimation frameworks for radar, RF, optical, and other sensing modalities. Develop and evaluate algorithms such as Kalman filters (EKF/UKF), particle filters, Bayesian filters, probabilistic data association, and multi-hypothesis tracking. Conduct simulation studies and performance benchmarking across varying operational conditions and noise environments. Analyze real-world datasets to validate model assumptions, quantify uncertainty, and improve robustness. Partner closely with software
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TITLE: Data Full Stack
EMPLOYER: Alan
LOCATION: Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium, France (unspecified)
SALARY: Not disclosed
POSTED: 2026-04-22
APPLY_URL: https://jobs.ashbyhq.com/alan/5b2b016c-9e66-4a22-9f3d-3f9c0cebbcba
EXCERPT: Data Full Stack Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium, France Health can't wait . Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that's exactly how healthcare works today. You wait, until you can't. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it's coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It's not solely a question of willpower. It's the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture . We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ The Data Team - Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing . - We create insights to help our colleagues focus on what is most impactful. - We build features
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TITLE: Applied Scientist II - AMZ9735083
EMPLOYER: Amazon
LOCATION: Sunnyvale, California, USA (unspecified)
SALARY: $172K-$222K
POSTED: 2026-05-21
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10427396/applied-scientist-ii-amz9735083
EXCERPT: Applied Scientist II - AMZ9735083 Sunnyvale, California, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Applied Scientist II Job Location: Sunnyvale, California Job Number: AMZ9735083 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. 40 hours / week, 8:00am-5:00pm, Salary Range: $171,600/year to $222,200/year Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and
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TITLE: Senior QA Engineer
EMPLOYER: Function Health
LOCATION: United States - Remote (remote)
SALARY: Not disclosed
POSTED: 2025-10-08
APPLY_URL: https://jobs.gem.com/function-health/am9icG9zdDrBl0tc0QbuKuKxgHvRkASJ
EXCERPT: Senior QA Engineer United States - Remote About Function & Ezra Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company's Most Innovative Companies of 2024 , and is venture-backed by Andreessen Horowitz (a16z) . Hundreds of thousands of members have joined Function to take control of their health. Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives. Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent. We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset. Function fosters a collaborative and dynamic environment where every day we build the future. Our Mission at Ezra Our mission at Ezra is to detect cancer early for everyone in the world. We offer a direct-to-consumer cancer screening service that leverages MRI and Artificial Intelligence to make cancer screening fast, accurate, and affordable. We are fully operational in multiple
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TITLE: Senior Data Engineer (Healthcare Data)
EMPLOYER: Komodo Health
LOCATION: United States (unspecified)
SALARY: $180K-$207K
POSTED: 2026-04-29
K401_MATCH: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/komodohealth/jobs/8527016002
EXCERPT: Senior Data Engineer (Healthcare Data) United States We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That's why we built the Healthcare Map - the industry's largest, most complete, precise view of the U.S. healthcare system - by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare's most complex questions for our partners. Across the healthcare ecosystem, we're helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease - and enjoy the journey along the way. We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That's why we built the Healthcare Map - the industry's largest, most complete, precise view of the U.S. healthcare system - by combining
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TITLE: Senior Software Engineer, Rust
EMPLOYER: Anduril
LOCATION: Broomfield, Colorado, United States (unspecified)
SALARY: $190K-$252K
POSTED: 2026-05-06
APPLY_URL: https://boards.greenhouse.io/andurilindustries/jobs/5130717007?gh_jid=5130717007
EXCERPT: Senior Software Engineer, Rust Broomfield, Colorado, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision - "Any sufficiently advanced technology is indistinguishable from magic" - we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology. WHAT YOU WILL DO: - Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
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TITLE: Senior Machine Learning Engineer – VLM/LLM Evaluation
EMPLOYER: Waymo
LOCATION: Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA (unspecified)
SALARY: $204K-$259K
POSTED: 2026-02-23
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7644924
EXCERPT: Senior Machine Learning Engineer – VLM/LLM Evaluation Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: - Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used
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TITLE: Senior Machine Learning Engineer, Data & Intelligence Products
EMPLOYER: AcuityMD
LOCATION: Boston or Remote (remote)
SALARY: Not disclosed
POSTED: 2026-06-07
PARENTAL_LEAVE_WEEKS: 8 (not source-backed)
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/acuitymd/jobs/5986789004
EXCERPT: Senior Machine Learning Engineer, Data & Intelligence Products Boston or Remote Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly. We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow. In this role, you will help lead the evolution of AcuityMD's core healthcare data assets by applying statistical and machine learning techniques to convert messy, real-world health data into insight about the healthcare market. You will design and ship predictive models and data products, improve the quality and interpretability of existing models, and deliver high-confidence, repeatable intelligence that fuels our MedTech-specific modules. You will identify new approaches and new data sources that extend
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TITLE: Senior Solutions Consultant - Health
EMPLOYER: Gradient AI
LOCATION: Remote (remote)
SALARY: $160K-$190K
POSTED: 2026-06-01
APPLY_URL: https://job-boards.greenhouse.io/gradientai/jobs/7758222003
EXCERPT: Senior Solutions Consultant - Health Remote This is a fully remote opportunity. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes-tens of millions of policies and claims-to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast-and it's an exciting time to join the team. About the Role: We are looking for a Senior Solutions Consultant to work with our sales and customer service team to drive effective implementations of our predictive analytics AI/ML solutions for underwriting and claims health clients. With a background in Health Insurance & Medical Stop Loss, this person will draw on deep domain experience to ensure we ask the right questions, use the best tools, articulate the best value propositions and provide the appropriate context; as well as to ensure the solutions we provide are on-point, value-add, and actionable. How you will make an impact: - Support the Health sales team by leading the creation, development, and ongoing maintenance of sales demo environments and presentation materials. - Arm the sales team with client success stories, KPI analyses, and reports that quantify client ROI - Participate on sales calls, providing demonstrations of our solutions and technical support for explanations of our products
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TITLE: Senior Research Scientist, World Action Modeling
EMPLOYER: Waymo
LOCATION: Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA (unspecified)
SALARY: $213K-$263K
POSTED: 2026-04-01
PARENTAL_LEAVE_WEEKS: 18 (not source-backed)
K401_MATCH: yes (not source-backed)
APPLY_URL: https://careers.withwaymo.com/jobs?gh_jid=7766821
EXCERPT: Senior Research Scientist, World Action Modeling Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA; New York City, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager . You will: - Design and implement generative world action modeling solutions to simulate future world states / observations and generate
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TITLE: Scientist I/II, Drug Delivery Chemistry
EMPLOYER: Lila Sciences
LOCATION: Cambridge, MA USA (unspecified)
SALARY: $108K-$170K
POSTED: 2026-04-27
LEARNING_BUDGET_OFFERED: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/lilasciences/jobs/4209819009
EXCERPT: Scientist I/II, Drug Delivery Chemistry Cambridge, MA USA Your Impact at LILA We are seeking a Scientist (II) to join our Physical Sciences team. This role will focus on assisting in the design and development of a high throughput chemical synthesis platform, with emphasis on medicinal chemistry and drug delivery applications. The ideal candidate will have experience synthesizing, analyzing, and optimizing novel molecules to build out structure-activity relationships for a library of compounds. This position will work closely with others across the chemistry, formulations, engineering, machine learning, and data science teams to help establish next-generation tools for therapeutic development and drug delivery. Your work will bridge the physical sciences and bioanalytical domains, enabling high-throughput experimentation for closed-loop optimization of organic compounds. What You'll Be Building - Design, synthesize, and optimize novel lipids, small molecules, and other combinatorial chemistry compound libraries for drug delivery applications - Design and deploy high-throughput synthesis strategies, build automated assay platforms, and develop innovative approaches to interrogate large chemical spaces - Partner closely with chemistry, computational, and automation teams to establish structure-activity relationships for compound libraries to guide iterative design strategies - Implement data-driven approaches to analyze screening outputs and guide iterative molecule design. - Work with and manage projects with CDMOs for research-grade synthesis, with considerations towards scale-up of lead compounds - Establish best practices for screening data quality, reproducibility, and assay robustness. - Collaborate across disciplines to translate screening hits into validated chemical starting points for therapeutic programs. What You'll Need to Succeed -
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TITLE: Head of Applied AI Engineering
EMPLOYER: Function Health
LOCATION: United States - Remote (remote)
SALARY: Not disclosed
POSTED: 2026-04-27
APPLY_URL: https://jobs.gem.com/function-health/am9icG9zdDp8ohDZkK-vFzsIKuXGKEGx
EXCERPT: Head of Applied AI Engineering United States - Remote Company Overview: Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company's Most Innovative Companies of 2024 , and is venture-backed by Andreessen Horowitz (a16z) . Hundreds of thousands of members have joined Function to take control of their health. Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives. Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent. We are growing our team and seeking out world-class talent that deeply believes in our mission to positively impact global health, has a relentless bias toward action, and a growth mindset. Function fosters a collaborative and dynamic environment where every day we build the future. Role: Join Function Health as our Head of AI, where you'll define and execute a cutting-edge AI Infra roadmap, lead advanced research initiatives, and shape the future of health technology. You will collaborate with senior leadership and cross-functional teams, mentor a world-class AI team, and
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TITLE: Medic/Doctor - Freelance AI Trainer Project
EMPLOYER: Agency
LOCATION: United States of America (unspecified)
SALARY: $6-$65/hr
POSTED: 2026-06-07
APPLY_URL: https://job-boards.eu.greenhouse.io/agency/jobs/4603869101
EXCERPT: Medic/Doctor - Freelance AI Trainer Project United States of America Are you a medicine expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline clinical work for healthcare professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for medicine specialists who live and breathe internal medicine, pharmacology, pathology, clinical diagnostics, medical ethics, human physiology, epidemiology, immunology, and evidence-based medicine. You'll challenge advanced language models on topics like differential diagnosis, drug interactions, treatment protocols, pathophysiological mechanisms, clinical trial design, public health interventions, and diagnostic imaging interpretation-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on clinical scenarios and theoretical medical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A medical degree (MD, DO) or a master's/PhD in a health sciences field is ideal; clinical experience, peer‑reviewed publications, hospital-based practice, or public health project involvement signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your medicine expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience,
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TITLE: Senior Data Scientist - Simulation / Optimization
EMPLOYER: Govini
LOCATION: Pittsburgh, Pennsylvania, United States (unspecified)
SALARY: Not disclosed
POSTED: 2026-01-30
APPLY_URL: https://job-boards.greenhouse.io/govini/jobs/4115004009
EXCERPT: Senior Data Scientist - Simulation / Optimization Pittsburgh, Pennsylvania, United States Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This pivotal AI leadership role is instrumental in establishing a robust culture of decision-making Agentic AI and creating the AI platforms, the "brain" of The Ark, designed to be leveraged by a broad community of AI and Data Science professionals within Govini. As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Govini,
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TITLE: Senior ML Data Scientist - Women’s Health
EMPLOYER: Oura
LOCATION: Remote - United States (remote)
SALARY: $172K-$203K
POSTED: 2026-02-19
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
APPLY_URL: https://job-boards.greenhouse.io/oura/jobs/4136642009
EXCERPT: Senior ML Data Scientist - Women’s Health Remote - United States Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: - Contribute to the development and deployment
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TITLE: Applied Scientist II - AMZ9935275
EMPLOYER: Amazon
LOCATION: New York, New York, USA (unspecified)
SALARY: $172K-$223K
POSTED: 2026-05-20
PARENTAL_LEAVE_WEEKS: 6 (not source-backed)
NON_BIRTH_PARENT_LEAVE_WEEKS: 6 (not source-backed)
K401_MATCH: yes (not source-backed)
FERTILITY_FAMILY_BUILDING_BENEFITS: yes (not source-backed)
ADOPTION_ASSISTANCE_OFFERED: yes (not source-backed)
MENTAL_HEALTH_SUPPORT: yes (not source-backed)
CHILDCARE_SUBSIDY: yes (not source-backed)
APPLY_URL: https://www.amazon.jobs/en/jobs/10425551/applied-scientist-ii-amz9935275
EXCERPT: Applied Scientist II - AMZ9935275 New York, New York, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON ADVERTISING LLC Offered Position: Applied Scientist II Job Location: New York, New York Job Number: AMZ9935275 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. 40 hours / week, 8:00am-5:00pm, Salary Range: $172,400/year to $223,400/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or
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TITLE: Data Engineer
EMPLOYER: Neko Health
LOCATION: Stockholm, Sweden, Berlin, London (unspecified)
SALARY: Not disclosed
POSTED: 2025-11-27
APPLY_URL: https://jobs.ashbyhq.com/neko-health/138e6e8f-7f80-4251-89da-f8ae6ab229fd
EXCERPT: Data Engineer Stockholm, Sweden, Berlin, London Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives. Role Purpose As a Data Engineer within our Data-to-AI platform, you will play a critical role in enabling healthcare innovation through robust, scalable, and secure data systems. You will design and build core data platform components, advanced data models, and ingestion frameworks that power analytics, machine learning, and data-driven decision making across the organization. Working with sensitive healthcare data, you will ensure strong governance, data quality, and regulatory compliance remain foundational to the platform. What You'll Deliver in the First 6-12 Months • Build and productionize scalable batch and streaming data pipelines supporting platform and research workloads. • Design and implement robust data models across databases and lakehouse systems to support analytics and machine learning. • Establish strong data quality, monitoring, and lineage practices improving reliability, traceability, and trust in platform data. • Contribute to scalable and well-governed data platform infrastructure supporting performance, compliance, and growth. • Partner closely with data scientists, analysts, and engineering
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