# FewerJobs export - 100 curated jobs Generated: 2026-08-14T14:01:45.617Z Source: https://fewerjobs.com ## Filters applied - **q**: Synthetic Sciences - **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**: 2 - **per_page**: 100 - **sort**: relevance ## Jobs ### Postdoctoral Data Analytics Computational Sciences - Johnson & Johnson - Location: Spring House, Pennsylvania, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jj.wd5.myworkdayjobs.com/JJ/job/Spring-House-Pennsylvania-United-States-of-America/Postdoctoral-Data-Analytics-Computational-Sciences_R-063632-2 - Excerpt: Postdoctoral Data Analytics Computational Sciences Spring House, Pennsylvania, United States of America posted: Posted Yesterday ### Technician II, Fast Turn Pools (Friday - Sunday, 6:00pm-6:30am) - Danaher Corporation - Location: Coralville, Iowa, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Coralville-Iowa-United-States/Technician-II--Fast-Turn-Pools--Friday---Sunday--6-00pm-6-30am-_R1313036/apply - Excerpt: Technician II, Fast Turn Pools (Friday - Sunday, 6:00pm-6:30am) Coralville, Iowa, United States of America Embrace the role of a Technician II in Fast Turn Pools at Integrated DNA Technologies. Synthesize and package synthetic DNA using advanced lab equipment, ensuring quality and compliance. Ideal for those with lab experience and strong technical skills. Grow your career in life sciences with a global leader in genomics innovation. ### Principal Scientist, Generative AI - AstraZeneca - Location: Beijing Yizhuang (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Beijing-Yizhuang/Principal-Scientist--Generative-AI_R-250753 - Excerpt: Principal Scientist, Generative AI Beijing Yizhuang posted: Posted 30+ Days Ago ### Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation - NVIDIA Corporation - Location: US, CA, Santa Clara (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Machine-Learning-Engineer---Physical-AI-and-Synthetic-Data-Generation_JR2017502 - Excerpt: Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation US, CA, Santa Clara posted: Posted 30+ Days Ago ### Software Engineer - ML Infrastructure - Genesis Molecular AI - Location: San Mateo, CA, Remote, New York, NY (remote) - Salary: Not disclosed - Posted: 2025-11-24 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/388e7964-e9a3-4620-89ae-ff21fe6444cc - Excerpt: Software Engineer - ML Infrastructure San Mateo, CA, Remote, New York, NY About the Team We're a tight-knit team of proven drug hunters, deep learning researchers, and software engineers united by a common mission - drive AI innovation in biochemistry, discovering and developing groundbreaking therapies for patients suffering from severe disorders. Genesis AI team is focused on developing foundation models for small molecule drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs. About the Role We're seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems, which is instrumental to our mission. As an engineer at Genesis, you will lead rapid iteration on our AI platform and infrastructure, unlocking the next level of performance, efficiency, and scale that was not previously possible. You will build massively distributed training and inference pipelines, core MLOps tools and frameworks, and optimize GPU operations to speed up ML models. Genesis is a highly-collaborative and cross functional environment, and you will work in close partnership with our exceptional engineers, researchers, and scientists. You Will - Lead engineering efforts focused on continuous improvement of the AI platform, focused on rapid build out ### Fullstack Software Engineer (Senior / Staff) - Genesis Molecular AI - Location: San Mateo, CA, New York, NY (unspecified) - Salary: Not disclosed - Posted: 2026-03-03 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/724a570b-6a8f-40bb-876c-353c754e367f - Excerpt: Fullstack Software Engineer (Senior / Staff) San Mateo, CA, New York, NY Fullstack Software Engineer (Senior / Staff) Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform. You will - Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight - Build and expand tools for visualizing molecules and proteins, analyzing ML models, and managing complex chemical workflows - Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction - Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs You are - A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem - Comfortable owning problems across the entire stack - frontend interfaces, backend services, data pipelines, and infrastructure - Experienced shipping production code and driving projects end-to-end with minimal hand-holding - Excited to work at the intersection of software engineering, drug discovery, and machine learning What we offer - The opportunity to work on high impact tools and products that are ### Senior Language Engineer, Artificial General Intelligence - Data Services - Amazon - Location: Boston, Massachusetts, USA (unspecified) - Salary: $93K-$160K - Posted: 2025-11-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3132875/senior-language-engineer-artificial-general-intelligence-data-services - Excerpt: Senior Language Engineer, Artificial General Intelligence - Data Services Boston, Massachusetts, USA The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Senior Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Define and lead the organization's data creation strategies for our science partners - Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the ### Senior / Engineer II, AI Lab Research Engineer - Lila Sciences - Location: Cambridge, MA USA; San Francisco, CA USA (unspecified) - Salary: $148K-$240K - Posted: 2025-10-06 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4029507009 - Excerpt: Senior / Engineer II, AI Lab Research Engineer Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply. What You'll Be Building - Agentic AI for science: Systems that perform sequential decision‑making and multi‑step reasoning to solve domain‑specific problems. - Workflow/code generation: From natural language intent to typed, executable steps for lab instruments. - Evaluation & reliability: Benchmarks, test suites, and telemetry to measure capability and quantify progress toward scientific goals. What You'll Need to Succeed - PhD or Masters in a quantitative discipline (e.g., ### Technician II, Fast Turn Pools (Mon - Thurs, 9:00pm - 7:30am)) - Danaher Corporation - Location: Coralville, Iowa, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-21 - 401(k) match: listed (not source-backed) - Apply: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Coralville-Iowa-United-States/Technician-II--Fast-Turn-Pools--Mon---Thurs--9-00pm---7-30am--_R1311609/apply - Excerpt: Technician II, Fast Turn Pools (Mon - Thurs, 9:00pm - 7:30am)) Coralville, Iowa, United States of America Embrace the role of a Technician II in Fast Turn Pools at Integrated DNA Technologies. Synthesize and package synthetic DNA, operate lab equipment, and ensure quality production in a collaborative, innovative environment. Grow your career in life sciences with hands-on experience and contribute to groundbreaking genomics advancements. Apply now to make a real impact! ### Senior Data Scientist, GTM - Fal - Location: San Francisco (unspecified) - Salary: $190K-$230K - Posted: 2026-05-13 - Apply: https://job-boards.greenhouse.io/fal/jobs/4247102009 - Excerpt: Senior Data Scientist, GTM San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: As a Senior Data Scientist for Go-to-Market at fal, you will be the analytical backbone of our revenue organization. Embedded directly with the GTM function, you will own the metrics that tell us how our pipeline is performing, how our sales team is executing, and where the next dollar of revenue is most likely to come from. This is a high-leverage, high-visibility role. GTM leadership will look to you for the answers - on rep performance, quota attainment, pipeline health, AM coverage, and segment economics - and you'll shape both the questions we ask and the systems we build to answer them. You'll partner closely with Product Intelligence and Data Engineering as part of fal's center-of-excellence data team, while acting as the embedded specialist for everything GTM. What you'll do - Own the metrics and reporting that drive sales execution ### Technician II, Fast Turn Pools (Fri - Sun 6:00pm - 6:30am) - Danaher Corporation - Location: Coralville, Iowa, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-19 - 401(k) match: listed (not source-backed) - Apply: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Coralville-Iowa-United-States/Technician-II--Fast-Turn-Pools--Fri---Sun-6-00pm---6-30am-_R1311611/apply - Excerpt: Technician II, Fast Turn Pools (Fri - Sun 6:00pm - 6:30am) Coralville, Iowa, United States of America Embrace the opportunity to become a Technician II in Fast Turn Pools at Integrated DNA Technologies. Synthesize and package synthetic DNA, operate lab equipment, and ensure quality production in a collaborative, innovative environment. Grow your career in life sciences with hands-on experience and contribute to groundbreaking genomics advancements. Apply now to make a real impact! ### Research Scientist / Engineer - Pre-training Data & Evaluation - Rhoda AI - Location: Palo Alto, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-27 - Apply: https://jobs.ashbyhq.com/rhoda-ai/56f6d647-0867-485b-ab0d-2f30c8aedffa - Excerpt: Research Scientist / Engineer - Pre-training Data & Evaluation Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Research Scientists and Research Engineers to build the data and evaluation foundations for our video action model. This team owns web-scale video data curation, annotation pipelines, and evaluation methodology - directly determining the quality of the video pretraining distribution and how clearly we can measure model progress. We hire across levels - from MTS-Staff What You'll Do - Design and implement scalable curation pipelines for web-scale video pretraining data: ingestion, deduplication, quality filtering, and content classification across internet-scale video corpora - Develop video-specific annotation frameworks and quality filters - motion quality, scene diversity, action content, temporal coherence - to improve pretraining signal - Build evaluation frameworks and benchmarks to measure causal video model capabilities: prediction quality, temporal coherence, long-horizon rollout fidelity, and downstream robot task performance - Research and implement data selection, mixing, and weighting strategies that improve video generation quality and transfer to ### Technician II, Fast Turn Pools (Mon - Thurs 6:00am - 4:30pm) - Danaher Corporation - Location: Coralville, Iowa, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - 401(k) match: listed (not source-backed) - Apply: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Coralville-Iowa-United-States/Technician-II--Fast-Turn-Pools--Mon---Thurs-6-00am---4-30pm-_R1311435/apply - Excerpt: Technician II, Fast Turn Pools (Mon - Thurs 6:00am - 4:30pm) Coralville, Iowa, United States of America Embrace the role of a Technician II in Fast Turn Pools at Integrated DNA Technologies. Synthesize and package synthetic DNA, operate lab equipment, and ensure quality production in a collaborative, innovative environment. Grow your career in life sciences with hands-on experience and contribute to groundbreaking genomics advancements. Apply now to make a real impact! ### Medicinal Chemist - Inductive Bio - Location: New York City, San Francisco, or Boston, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-20 - Apply: https://jobs.ashbyhq.com/inductive-bio/d6ef5aca-c6cf-4b82-b710-cf20e3bd2327 - Excerpt: Medicinal Chemist New York City, San Francisco, or Boston, United States Inductive Bio is an AI medicinal chemistry partner . We build virtual labs that help drug discovery teams make better decisions, faster, across the full DMTA cycle. Our platform includes Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI medicinal chemistry assistant. Through partnerships with CROs, we also offer innovative synthesis approaches, direct-to-dose testing, and cost-effective tier 1 ADME panels that enable initial human PK projection, closing the loop from computational design to experimental validation. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners. Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop next-generation toxicity models. We are seeking an accomplished Medicinal Chemist to play a key role in building an AI-forward drug discovery platform that impacts all stages of the Design-Make-Test-Analyze cycle, and deploy that platform to dozens of programs across the industry! This role will report directly to our Head of Medicinal Chemistry. What you'll do: - Be an embedded expert, supporting a variety of partner drug discovery programs from lead generation through development candidate nomination across diverse small molecule modalities. - Alongside outstanding compchem, DMPK, and machine learning colleagues, bring Inductive's tools and your medchem knowledge to our work ### Senior Research Associate, Antibody Display - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $80K-$102K - Posted: 2026-06-04 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4265624009 - Excerpt: Senior Research Associate, Antibody Display Cambridge, MA USA Your Impact at LILA We're hiring a Senior Research Associate to support development and execution of display workflows to determine the binding, stability, and function of antibodies and other biologics. The role will develop and execute assays to generate highly multiplexed, high-dimensional datasets, and will continually optimize those assays to improve precision, scope, reliability, and speed. You will collaborate with synthetic biologists, automation engineers, and others to make these assays automation-ready. This role partners across cell biology, protein design, and nucleic acid teams to support biologic development programs and the development of scientific super intelligence. What You'll Be Building - Support development of in vitro and in vivo display workflows to determine the binding, stability, and function of antibodies and other biologics. - Implement display workflows to support antibody and biologic development programs and to generate novel high-dimensional datasets that advance scientific super intelligence. - Partner with protein design, nucleic acid, protein, and automation teams to create highly precise and complex libraries of protein designs. - Utilize MACS and FACS for the selection of biologics with desired properties. - Closed-loop experimentation and execution: partner closely with engineering and automation to design and exercise platforms for automated, high-throughput experimentation and data-rich workflows. - Collaborate, lead, and communicate: work with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science. What You'll Need to Succeed - MSc in Molecular Biology, ### ML Research Scientist, Foundation Models (Senior / Staff / Principal) - Genesis Molecular AI - Location: San Mateo, CA, New York, NY (unspecified) - Salary: Not disclosed - Posted: 2025-07-30 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/c1c47745-4e5c-4e0e-9d71-16d7ea28895a - Excerpt: ML Research Scientist, Foundation Models (Senior / Staff / Principal) San Mateo, CA, New York, NY ML Research Scientist, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a ### Design Verification Engineer - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $120K-$240K - Posted: 2025-11-25 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7522566003 - Excerpt: Design Verification Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Key Responsibilities - Work with architects, designers, post-silicon, and software engineers, to ensure a high-quality design that works for silicon. - Develop and implement verification strategies, detailed tests, and coverage plans based on micro-architecture. - Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage. - Implement tests, manage regressions, gather coverage, and debug test failures. - Collaborate with cross-functional teams, including architecture, RTL design, physical design, firmware, and validation. - Analyze and debug complex issues across simulation, emulation, and silicon bring-up ### Language Engineer, Artificial General Intelligence - Data Services - Amazon - Location: Boston, Massachusetts, USA (unspecified) - Salary: $86K-$151K - Posted: 2025-10-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3099797/language-engineer-artificial-general-intelligence-data-services - Excerpt: Language Engineer, Artificial General Intelligence - Data Services Boston, Massachusetts, USA The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything ### Technical Program Manager, PXT Central Science - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $149K-$201K - Posted: 2026-04-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10405844/technical-program-manager-pxt-central-science - Excerpt: Technical Program Manager, PXT Central Science Seattle, Washington, USA The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are seeking a Sr. Technical Program Manager (TPM) to own and drive the Automated Causal Evaluation (ACE) platform - a self-service tool that enables program managers across Amazon to design and evaluate the causal impact of employee programs using A/B testing, matching, and synthetic difference-in-differences methods. ACE has evaluated 280+ programs across 130+ users and is expanding rapidly with new capabilities including a GenAI chatbot, API integrations, a searchable repository of past evaluations, and an ROI recommendations engine. You will work at the intersection of the ACE Science Team - economists, data scientists, and applied scientists who develop and maintain ACE's causal inference models - and the ACE Tech Team - UX researchers, software development engineers, and product managers who build and ship the platform. Your role is to ensure these teams deliver a cohesive product on time, coordinating across science development, engineering implementation, UX research, and customer-facing launches. You will manage the end-to-end program lifecycle for ACE's roadmap: scoping new capabilities with the science and product teams, translating scientific methodology into engineering requirements, developing ### Machine Learning Engineer / Scientist - Until - Location: Bay Area (unspecified) - Salary: Not disclosed - Posted: 2025-11-25 - Apply: 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, ### AI Research Scientist, Media Data Research - MSL FAIR - Meta - Location: Menlo Park, CA (unspecified) - Salary: $154K-$217K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1187350126138459/ - Excerpt: AI Research Scientist, Media Data Research - MSL FAIR Menlo Park, CA Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language and Media Models. We're looking for researchers with LLM/LMM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM/LMM development (pre-training, mid-training, post-training) and all domains/modalities (image, video, agent, media perception and generation). We are tackling complex challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what is possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. Responsibilities: - Collaborate with cross-functional teams to develop Meta's next foundational models - Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data - Fundamentally improve our data velocity across workflows and projects by contributing to quality in data tooling - Execute on high priority projects in pre-training, mid-training, or post-training data curation - Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing - Lead complex technical projects end-to-end Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - PhD in Computer Science or ### Solutions Engineer - SyntheticFi - Location: Epsom, Auckland (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://cyclone.bamboohr.com/careers/284 - Excerpt: Solutions Engineer Epsom, Auckland Solutions Engineer ### Research Engineer / Scientist (3D Reconstruction) - World Labs - Location: San Francisco (unspecified) - Salary: $250K-$350K - Posted: 2026-01-27 - Apply: https://job-boards.greenhouse.io/worldlabs/jobs/4113005009 - Excerpt: Research Engineer / Scientist (3D Reconstruction) San Francisco About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world - unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology - from AI research to systems engineering to product design - creating a tight feedback loop between our cutting-edge research and products that empower our users. Role Overview We're looking for a 3D Reconstruction Specialist to develop and advance state-of-the-art methods for reconstructing high-quality 3D geometry and appearance from real-world data. This role is focused on modern reconstruction techniques-both feed-forward and optimization-based-with an emphasis on novel representations, robust optimization, and scalable training and inference pipelines. This is a hands-on, research-driven role for someone who enjoys working at the intersection of computer vision, graphics, and machine learning. You'll collaborate closely with research scientists, ML engineers, and product teams to translate cutting-edge reconstruction ideas into production-ready systems that power core product capabilities. What You Will Do: - Design and implement modern 3D reconstruction systems, including feed-forward and optimization-based approaches for geometry, appearance, and scene understanding. - Research, prototype, and productionize advanced 3D representations (e.g., implicit functions, point-based or volumetric methods, hybrid representations) with a focus on ### Principal Research Scientist I Eng - AbbVie Inc. - Location: North Chicago, IL, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/AbbVie/3743990013107926-principal-research-scientist-i-eng - Excerpt: Principal Research Scientist I Eng North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: R&D Process Engineering, a part of AbbVie's Development Sciences organization in Synthetic Molecules CMC (Chemistry, Manufacturing, and Controls), is responsible for designing and developing scalable processes to make drug substances and drug products, including small molecules and antibody drug conjugates (ADCs), throughout pre-clinical and clinical development stages. Responsibilities include synthetic route design, process definition, scale-up, and tech transfer for wide varieties of therapeutics and technologies to meet evolving pipeline demand. The R&D Process Engineering team also partners with Biologics CMC Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins, lipid nanoparticles (LNP's), and cosmetic active ingredients (CAIs). We contribute to the development of innovative engineering technologies and create valuable intellectual property through the composition of matter, chemical processes, and technologies resulting in cost-effective commercial manufacturing processes. We support the development of the supply chain for pipeline molecules and help prepare and ### Synthesis Technician I - Eurofins Scientific - Location: Louisville, KY, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/Eurofins/744000124161579-synthesis-technician-i - Excerpt: Synthesis Technician I Louisville, KY, United States Company Description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description: The Laboratory Technician I receives sufficient authority from and is accountable to Laboratory Manager or Team Lead for the successful completion of assigned duties and responsibilities and has the ### Basestocks Synthetics & Intermediates Technologist - Advanced - Exxon Mobil Corporation - Location: Alternate Job Posting Location | Job City/State (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.exxonmobil.com/job/Praha-Basestocks-Synthetics-&-Intermediates-Technologist-Advanced-13000/1397998600/ - Excerpt: Basestocks Synthetics & Intermediates Technologist - Advanced Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil in the Czech Republic Established in 2004, a diverse, multinational and friendly environment is what you will discover in ExxonMobil Czech Republic with 1200+ employees from over 80 countries. Diverse and engaged organization with unrivaled opportunities for personal and professional growth via job-rotations, trainings, free language courses and collaboration on international projects await you. Proudly awarded as LGBT Friendly and Top Responsible Company for Women. What role will you play in our team Serve as a global technical expert in formulation using Base Stocks and Synthetic products Partner with marketing, commercial, and application development teams to demonstrate product perfor ### Research Engineer - Data - Periodic Labs - Location: Menlo Park, California, United States (unspecified) - Salary: $250K-$350K - Posted: 2026-05-05 - Apply: https://jobs.ashbyhq.com/periodic-labs/d039ec58-a97d-47e1-b1e5-db003d772f77 - Excerpt: Research Engineer - Data Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will build and drive the data foundation for our research efforts. This means owning data strategy end-to-end: sourcing and procuring external datasets, integrating internally generated experimental data into the training stack, and ensuring the team always has the right data - in the right shape - to train and improve frontier models. This role sits at the intersection of data engineering, research infrastructure, and strategy. You will work closely with pretraining, midtraining, and RL researchers to understand what data the models need, then build the pipelines and systems to get it there. The work spans collecting and organizing diverse data sources, improving data quality through deduplication and preprocessing, and ensuring that new experimental results are incorporated in a structured, repeatable way that makes them useful for model development. What You'll Do - Own data strategy across the training stack - identifying gaps, evaluating new sources, and shaping the overall data roadmap in collaboration with research leads - Source, evaluate, and procure external datasets across scientific domains including chemistry, ### Scientist I/II, mRNA Translation Dynamics - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $108K-$170K - Posted: 2026-04-09 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4204230009 - Excerpt: Scientist I/II, mRNA Translation Dynamics Cambridge, MA USA Your Impact at LILA We are seeking a curious, driven, and collaborative Scientist to join our discovery platform team focused on decoding mRNA translation dynamics. You will develop workflows that utilize next-generation pooled screening strategies like polysome profiling and Ribo-seq to to generate rich biological datasets that feed directly into Lila's machine learning models. This is a unique opportunity to help invent a new approach to biological discovery by integrating synthetic biology, high-throughput experimentation, and intelligent automation. What You'll Be Building - Design and execute high-throughput pooled screening campaigns to interrogate mRNA translation dynamics across diverse sequence and structural contexts - Develop and optimize cell-free and in-cell assay systems for quantitative measurement of translation efficiency, kinetics, and regulation across different cell environments - Collaborate closely with computational and ML teams to define data requirements, validate model predictions, and close the loop between experiment and prediction - Establish and refine next-generation library design strategies, leveraging combinatorial and rational approaches to explore sequence space efficiently - Analyze and interpret complex biological datasets, distilling key findings into actionable insights for platform advancement - Contribute to the development of automated and semi-automated experimental pipelines to increase throughput and consistency What You'll Need to Succeed - MSc with 4+ years of industry or academic experience, or PhD in a relevant field (molecular biology, bioengineering, synthetic biology, chemical biology, etc.) - Deep expertise in mRNA biology and translation regulation - Experience with next-generation sequencing based assays of mRNA ### Senior Scientist II – ADC Reaction Engineer - AbbVie Inc. - Location: North Chicago, IL, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/AbbVie/3743990013483206-senior-scientist-ii-adc-reaction-engineer - Excerpt: Senior Scientist II – ADC Reaction Engineer North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: R&D Process Engineering, a part of AbbVie's Development Sciences organization in Synthetic Molecules CMC (Chemistry, Manufacturing, and Controls), is responsible for designing and developing scalable processes to make drug substances and drug products, including small molecules and antibody drug conjugates (ADCs), throughout pre-clinical and clinical development stages. Responsibilities include synthetic route design, process definition, scale-up, and tech transfer for wide varieties of therapeutics and technologies to meet evolving pipeline demand. The R&D Process Engineering team also partners with Biologics CMC Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins, lipid nanoparticles (LNP's), and cosmetic active ingredients (CAIs). We contribute to the development of innovative engineering technologies and create valuable intellectual property through the composition of matter, chemical processes, and technologies resulting in cost-effective commercial manufacturing processes. We support the development of the supply chain for pipeline molecules and help ### Sr. Engineer, SoC Design Verification - TensTorrent - Location: Boston, Massachusetts, United States; Santa Clara, California, United States; Toronto, Ontario, Canada (unspecified) - Salary: $100K-$500K - Posted: 2025-09-02 - Apply: https://job-boards.greenhouse.io/tenstorrent/jobs/4819642007 - Excerpt: Sr. Engineer, SoC Design Verification Boston, Massachusetts, United States; Santa Clara, California, United States; Toronto, Ontario, Canada Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking an engineer who will focus on pre-silicon verification of DFD logic in advanced AI SoCs, driving coverage of debug, test, and bring-up features critical to silicon success. This role is hybrid, based out of Boston, MA; Toronto, Ottawa; or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Deeply curious about silicon debug/test infrastructure and its verification. - Expert in UVM and verification of DFT/DFD features, scan, and on-chip trace logic. - Comfortable working with Siemens Tessent flows, iJTAG, and advanced verification automation. - Proactive, detail-oriented, and thrives in cross-functional technical discussions. - Ideally familiar with tools similar to CocoTB What We ### Scientist, Analytical Characterization (HPLC & Mass Spec) - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/d2d7c5e8-eaaf-4140-8e44-e1fe1bbe9c3d - Excerpt: Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods ### Senior Machine Learning Engineer - Simulation Scenario Generation - Zoox - Location: Foster City, CA (unspecified) - Salary: Not disclosed - Posted: 2025-12-19 - Apply: https://jobs.lever.co/zoox/ceafb19f-35c5-4563-b686-cb402328149f - Excerpt: Senior Machine Learning Engineer - Simulation Scenario Generation Foster City, CA Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. In this role, you will: - Contribute to tooling for AI-based scenario understanding and validation. - Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features. - Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use. - Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows. - Directly contribute to the safety and reliability of Zoox's autonomous software. Qualifications - MS or PhD in Computer Science, ### Computational Scientist - Exxon Mobil Corporation - Location: Alternate Job Posting Location | Job City/State (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.exxonmobil.com/job/Spring-Computational-Scientist-TX-77389/1379846300/ - Excerpt: Computational Scientist Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. About Houston ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors. By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry. The campus ### Product Policy, Biosecurity Policy Manager - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/openai/8b1f58e8-2922-4d55-bce6-04d7b4c5ec21 - Excerpt: Product Policy, Biosecurity Policy Manager San Francisco, California, United States About the Team The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI's services, including ChatGPT, Codex, GPTs, and the OpenAI API. This biosecurity-focused role will help define how OpenAI enables legitimate life sciences, biomedical, and public health work while reducing the risk that our products are misused to create biological harm. This role sits at the intersection of AI capability, life sciences practice, biosecurity, biosafety, and abuse prevention: helping researchers, institutions, and other legitimate users benefit from OpenAI's tools while setting clear boundaries against activity that could enable catastrophic biological misuse or other harmful bio-related outcomes. About the Role As a Product Policy Manager specializing in Biosecurity, you will combine deep biological, biosecurity, and policy judgment to guide how OpenAI evaluates, launches, and governs capabilities relevant to biology and the life sciences. You will work closely with product, engineering, research, safety, security, legal, operations, global affairs, and go-to-market teams to translate complex biological risk into practical product policy, implementation standards, access criteria, enforcement guidance, and launch decisions. The role requires understanding both sides of the bio equation: how legitimate researchers, clinicians, public health practitioners, and life sciences organizations use AI to advance beneficial work, and how malicious or irresponsible actors may attempt to misuse AI systems to lower barriers to harmful biological activity. Strong candidates may bring depth in one or more relevant domains, such as biosecurity, biosafety, synthetic biology, molecular biology, computational ### Research Scientist Intern, Multimodal Contextual AI (PhD) - Meta - Location: Redmond, WA (unspecified) - Salary: $7K-$12K/mo - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/2160167211413098/ - Excerpt: Research Scientist Intern, Multimodal Contextual AI (PhD) Redmond, WA At Reality Labs, our team brings novel experiences to life on Meta's AR devices. We are seeking upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses. Within the vast domain of contextual AI, we are currently focusing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the state-of-the-art in one or more of these areas. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Build and characterize experimental HW+SW systems on AR devices and device prototypes - Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP - Collaborate with other researchers and engineers across various disciplines Minimum qualifications: - Currently has, or is in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field - Programming and simulation experience with languages such as C/C++ and Python - Experience with computer architecture and HW/SW co-design and co-optimization - Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment Preferred qualifications: - Experience in HW+SW system prototyping using embedded device prototypes and FPGAs - Experience in operating systems, drivers, and embedded firmware development - Experience working in ### Facilities/Lab Ops Lead - Octant Bio - Location: Emeryville, California, United States (unspecified) - Salary: $115K-$140K - Posted: 2026-05-27 - 401(k) match: listed (not source-backed) - Apply: https://www.octant.bio/jobs?gh_jid=6006975004 - Excerpt: Facilities/Lab Ops Lead Emeryville, California, United States ROLE: Facilities/Lab Lead COMPANY Octant is a clinical stage drug discovery company developing correctors for protein misfolding diseases with active programs in rare diseases and oncology. Octant's platform, The Navigator, combines high-throughput synthetic biology, generative chemistry, and AI/ML to discover and develop therapeutics against complex cellular mechanisms in human cells. JOB DESCRIPTION Octant is looking for an organized, hands-on lab and facilities manager to keep our research operations running smoothly. You'll be the operational backbone of our wet lab environment - managing supplies, equipment, safety, lab infrastructure, and day-to-day facilities needs so our scientists can focus on doing great science. This role sits at the intersection of operations and science and is critical to enabling Octant's high-throughput, fast-moving research environment. AS A PART OF OCTANT'S OPERATIONS TEAM, YOU'LL: - Cultivate and manage strategic vendor relationships to ensure a resilient supply chain for reagents, consumables, and critical laboratory equipment - Drive organizational accountability for lab safety and regulatory compliance, overseeing EHS standards, BSL-2 protocols, and waste management systems - Own the general laboratory equipment lifecycle, providing strategic oversight for preventive maintenance, calibration schedules, service contracts, and technological upgrades to minimize downtime and anticipate failures before they affect the science - Exercise rigorous budget stewardship, tracking operational spend and partnering with Finance to align facilities and lab resources with company growth and research milestones - Develop and govern optimized utilization strategies for shared equipment and high-throughput workflows to ensure maximum scientific output - Drive continuous ### Senior Scientist, Separation Sciences - Recursion Pharmaceuticals INC CLAS - Location: Milton Park, England (unspecified) - Salary: GBP 70K-94K - Posted: 2026-03-26 - Apply: https://job-boards.greenhouse.io/recursionpharmaceuticals/jobs/7760240 - Excerpt: Senior Scientist, Separation Sciences Milton Park, England Your work will change lives. Including your own. The Impact You'll Make We are seeking a Senior Separation Scientist to join our Chemistry Automation team at our labs in Milton Park. In this primarily lab-based role, you will be responsible for maintaining and operating an analytical and purification suite within the experimental Chemistry Automation Platform. You will work closely with synthetic and automation chemists, ensuring the delivery of purified compounds and high-quality analytical data to meet drug discovery program needs. Working in our state-of-the-art laboratories, with a fleet of 10 highly specialised HPLC and SFC instruments, you will be encouraged to evaluate and deploy the latest technical developments to create efficient, holistic processes that support multiple drug discovery programs across the portfolio. In this role, you will: Maintain and operate a fleet of ten+ highly specialised HPLC and SFC instruments as part of the experimental Chemistry Automation platform, including day‑to‑day operation, troubleshooting, and preventative maintenance, partnering with vendors and internal support teams as needed Own the purification lifecycle from crude material to pure compound, including automated fraction consolidation and QC checks Design and implement new processes, workflows, and techniques (such as chromatographic logD and EPSA) to improve the capability and capacity of the analytical suite as we grow and develop our automated platform for drug discovery programs Provide separation science expertise to guide chemical synthesis workstreams and module development in cross-functional matrix teams The Team You'll Join You'll join the Milton Park based ### ML Systems Engineer - Periodic Labs - Location: Menlo Park, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-29 - Apply: https://jobs.ashbyhq.com/periodic-labs/d9180228-c113-4d5f-a4d6-793994e50b7c - Excerpt: ML Systems Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will own the systems layer that makes our frontier model training and inference fast, efficient, and tightly coupled to the RL feedback loop that drives scientific discovery. This is not a pure infrastructure role and it is not a pure research role - it sits exactly at their intersection. You will go deep into the stack: scheduling, kernels, RDMA, weight synchronization, and communication primitives, while working shoulder-to-shoulder with researchers to co-design the algorithms and infrastructure together. The RL loop is central to how Periodic Labs works. Models propose experiments, experiments generate data, data feeds back into training. The speed and reliability of that loop is a direct multiplier on the pace of scientific discovery. You will own the infrastructure that makes it fast. What You'll Do - Build rack and topology-aware scheduling for GB series GPUs across Ray, Slurm, and Kubernetes, minimizing latency and maximizing utilization across heterogeneous cluster configurations - Build online and offline profilers that surface bottlenecks across the training and inference stack and translate findings into ### Mesoscale Modeling – Postdoctoral Researcher - Lawrence Livermore National Laboratory - Location: Livermore, CA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Learning budget: yes (not source-backed) - Apply: https://jobs.smartrecruiters.com/LLNL/3743990012235947-mesoscale-modeling-postdoctoral-researcher - Excerpt: Mesoscale Modeling – 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 opening for a Postdoctoral Researcher to conduct computational research in the area of mesoscopic modeling of interface thermodynamics and kinetics, as well as associated microstructure evolution of materials, focusing on (electro)chemical and/or (electro)chemo-mechanical degradation mechanisms. You will be part of an interdisciplinary team of computational and experimental materials scientists utilizing world class computational and experimental research facilities to study the surfaces, interfaces, and microstructures of materials for structural and/or energy applications. This role will actively participate in the research and development of mesoscale computational models and codes for investigating mechanisms and simulating coupled interfacial processes in materials, including metals and metal oxides. This position is in the Computational Materials Science Group of the Materials Science Division. fundamental and applied research in the thermodynamics and kinetics of surface/interface phenomena and associated microstructure evolution of metals and/or metal oxides. Develop integrated modeling and simulation capabilities for simulating concurrent physical, chemical, and materials kinetic ### Senior Principal Product Manager (Rockerbox) - DoubleVerify - Location: United States (unspecified) - Salary: $150K-$270K - Posted: 2026-04-27 - Apply: https://job-boards.greenhouse.io/doubleverify/jobs/8505033002 - Excerpt: Senior Principal Product Manager (Rockerbox) United States About the Role Rockerbox powers a unified measurement platform that helps marketers understand, optimize, and grow their business across channels. At the core of this platform are our modeling and measurement systems-spanning Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and other modeled approaches. We are looking for a Senior Principal Product Manager to lead this domain. This role owns the strategy and execution of Rockerbox's measurement and modeling products, ensuring our methodologies are accurate, trusted, and differentiated in the market. You will work at the intersection of data science, engineering, and customer outcomes, translating complex models into products that drive real business decisions. This is a high-impact, highly cross-functional role. You will partner closely with Data Science, Engineering, Customer Success, and Go-To-Market teams, and play a key role in shaping how modern marketers measure performance in an increasingly complex ecosystem. What You'll Do - Own the product strategy and roadmap for measurement and modeling, including MMM, Testing, Synthetic modeling, and MTA evolution - Define how different methodologies work independently and together - Partner closely with Data Science and Engineering to build and scale model-driven products and systems - Translate complex modeling concepts into clear product requirements, workflows, and outputs - Lead products from 0→1 through scaled adoption, balancing innovation with customer and business impact - Ensure modeling outputs are accurate, explainable, and aligned with customer expectations - Be a key driver in improving how models are delivered to customers, including speed, ### Research Scientist, AI & Systems Co-design (PhD) - Meta - Location: Menlo Park, CA (unspecified) - Salary: $122K-$181K - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/981521268137572/ - Excerpt: Research Scientist, AI & Systems Co-design (PhD) Menlo Park, CA Our teams' mission is to explore, develop and help productionize high performance software & hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system from models and runtime all the way to the AI hardware, optimizing across compute, network and storage. The team invests significantly into model optimization on existing accelerator systems and guiding the future of models and AI HW at Meta. This drives improved performance, new model architectures and reduces cost of ownership for all key AI services at Meta: Recommendations and Generative AI. This is an exciting space that spans exploration and productionization, coupled with close collaborations with industry, academia, Meta's Infrastructure and Product groups. Collaborating closely with product teams, the team's mode of operation is going from ideation and rapid prototyping, all the way to assisting productization of high leverage ideas, working with many partner teams to bring learnings from prototype into production. In addition to the real-world impact on billions of users of the Meta products, our team members have won Best Paper Awards at prestigious conferences such as ISCA, ASPLOS, SOSP, and OSDI, with multiple papers selected for IEEE Micro Top Picks. We regularly publish in ICML, NeurIPS, SC, HPCA, NSDI, VLDB, MLSys, and more. Overall, our work largely corresponds to the research communities of systems in general and especially systems for ML (MLSys, SOSP, OSDI, SIGCOMM, NSDI), hardware architecture (ISCA, ASPLOS), ML ### Software Engineer, Sensor Simulation - Anduril - Location: Seattle, Washington, United States (unspecified) - Salary: $166K-$220K - Posted: 2026-06-10 - Apply: https://boards.greenhouse.io/andurilindustries/jobs/5152591007?gh_jid=5152591007 - Excerpt: Software Engineer, Sensor Simulation Seattle, Washington, 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 The Sensor Simulation team at Anduril is building a platform for generating synthetic imagery for a variety of teams across the company. Use cases span a variety of areas, such as SITL (software in the loop) and HITL (hardware in the loop) integration tests of our systems, machine learning (ML) data generation and user training simulations. Our mission is to close the sim2real gap-building synthetic imagery pipelines so realistic and physically accurate that our autonomy stack can't tell the difference between synthetic and real-world data. This directly accelerates development and validation of Anduril's perception and autonomy capabilities. We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform. Candidates must have hands-on background in robotics, autonomy systems, or game ### Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs - Meta - Location: Menlo Park, CA (unspecified) - Salary: $219K-$301K - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/26609693568718418/ - Excerpt: Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs Menlo Park, CA Meta is seeking Research Engineers to help us build the data foundation for Meta's most advanced Large Language and Media Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, image, video, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models, while having the chance to collaborate with researchers and engineers across MSL. Responsibilities: - Collaborate with cross-functional teams to develop Meta's next foundational models - Architect efficient and scalable data curation systems and pipelines - Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling - Execute on high priority projects in pre-training, mid-training, or post-training data curation - Apply specialized expertise in video/image perception or generation, OCR, agentic data, synthetic data, multilingual data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization - Lead complex technical projects end-to-end Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 4+ years of industry research experience with ### Staff Technical Lead for Inference & ML Performance - Fal - Location: San Francisco (unspecified) - Salary: Not disclosed - Posted: 2025-08-07 - Apply: https://job-boards.greenhouse.io/fal/jobs/4012780009 - Excerpt: Staff Technical Lead for Inference & ML Performance San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. Why this role matters You'll shape the future of fal's inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands. What you'll do Day-to-day What success looks like Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions. fal's inference engine consistently outperforms industry benchmarks in throughput, latency, and efficiency. Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations. You regularly ship code that significantly improves model serving performance. Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques. Seamless integration of inference innovations rapidly moves from research to production deployment. Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies. ### Senior Product Manager, Chemistry - Revolution Medicines - Location: Redwood City, California, United States (unspecified) - Salary: $186K-$233K - Posted: 2026-05-19 - 401(k) match: listed (not source-backed) - Apply: https://www.revmed.com/careers-list/?gh_jid=7738675003 - Excerpt: Senior Product Manager, Chemistry Redwood City, California, United States Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: We are seeking a Senior Product Manager, Chemistry to deliver products and capabilities that help Chemistry teams make faster, higher-confidence design and progression decisions in oncology-focused drug discovery. This role will define and deliver the product strategy for Chemistry workflows, data products, and AI-enabled decision support using the right mix of internal product development, SaaS platforms, vendor partnerships, integrations, and RevCore capabilities. You will partner with medicinal chemists, synthetic chemists, computational chemists, analytical chemists, DMPK and Biology partners, Data Science, ML Engineering, Data Engineering, IT, and platform teams to turn complex Chemistry workflows into intuitive, scalable solutions that accelerate the Design-Make-Test-Learn cycle. Own Chemistry product strategy - Define the vision and roadmap for Chemistry products and capabilities across medicinal chemistry, synthetic chemistry, analytical chemistry, compound management, and the Design-Make-Test-Learn cycle. - Build a Now, Next, Later roadmap from foundational compound data capabilities to ### Member of Technical Staff, Research - Fireworks AI - Location: San Mateo, CA (unspecified) - Salary: $175K-$240K - Posted: 2025-04-17 - Apply: https://job-boards.greenhouse.io/fireworksai/jobs/4000239009 - Excerpt: Member of Technical Staff, Research San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Member of Technical Staff on the Research team, you'll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You'll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications. You'll also have the opportunity to shape how some of the world's leading companies build and deploy AI through the models and tools you help create. Key Responsibilities - Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems - Design, implement, and evaluate novel model architectures, training methods, and optimization techniques - Collaborate with engineering teams to transition research prototypes into production-grade systems - Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality - Contribute to internal research ### Research Scientist Intern, Audio Quality with AI (PhD) - Meta - Location: Redmond, WA (unspecified) - Salary: $8K-$12K/mo - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1760132191666571/ - Excerpt: Research Scientist Intern, Audio Quality with AI (PhD) Redmond, WA The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives. In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments. Meta Reality Labs Research is looking for an intern who is passionate about speech perception and audio quality to investigate why processed speech sometimes ### Research Engineer, Text Data Research - MSL FAIR - Meta - Location: Menlo Park, CA (unspecified) - Salary: $184K-$257K - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1419173033108804/ - Excerpt: Research Engineer, Text Data Research - MSL FAIR Menlo Park, CA Meta is seeking AI research engineers to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for engineers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. Responsibilities: - Collaborate with cross-functional teams to develop Meta's next foundational models - Architect efficient and scalable data curation systems and pipelines - Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling - Execute on high priority projects in pre-training, mid-training, or post-training data curation - Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization - Lead complex technical projects end-to-end Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 2+ years of industry research experience in LLM/NLP or related AI/ML models - Experience as a ### Scientist, Structural Chemistry AI/ML - Gilead Sciences - Location: United States - California - Foster City (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---California---Foster-City/Scientist--Structural-Chemistry-AI-ML_R0052989-1 - Excerpt: Scientist, Structural Chemistry AI/ML United States - California - Foster City posted: Posted 2 Days Ago ### Senior Automation/Medicinal Chemist - Recursion Pharmaceuticals INC CLAS - Location: Milton Park, England (unspecified) - Salary: GBP 70K-94K - Posted: 2026-04-02 - Apply: https://job-boards.greenhouse.io/recursionpharmaceuticals/jobs/7775887 - Excerpt: Senior Automation/Medicinal Chemist Milton Park, England Your work will change lives. Including your own. The Impact You'll Make We are seeking an experienced Senior Scientist in Automation/Medicinal Chemistry to accelerate our internal and partnership drug discovery portfolio. This role, bridging AI-enabled design and cutting-edge automated synthesis, is central to our mission. Operating our Milton Park site, you will take ownership for delivery of compounds through our state-of-the-art Automation Studio and, by collaborating closely with drug designers, drive impactful outcomes for drug discovery programs within our pipeline. You will have a track record of leadership from the lab, and combine deep medicinal and synthetic chemistry expertise with a commitment to modernizing the drug discovery process. A self-starter who can lead effectively from the bench and operate strategically. In this role, you will: Design , prioritise, and tactically execute synthetic routes for small‑molecule targets, strategically using our Chemistry Automation Platform, our well-equipped traditional synthesis laboratories and CRO support to meet project goals on tight timelines. Build a strong collaborative partnership with computational and medicinal chemists to use the full capabilities of both the Centaur Chemist (design) and Chemistry Automation (synthesis) platforms including optimising methodologies, workflows, and best practices. Adapt core synthetic medicinal chemistry tactics onto the automation platform by collaborating with software developers and module owners, validating feasibility, defining safe and scalable conditions, and documenting processes clearly for reuse. Act as primary medicinal chemist supporting a drug discovery project accountable for deliverables and ensuring successful outcomes, working with a senior project lead ### Principal Scientist, Biologics Cell Line Development - Asimov - Location: Boston, MA (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/asimov/f27c8759-5ebf-4605-a30c-dd6da318ad97 - Excerpt: Principal Scientist, Biologics Cell Line Development Boston, MA Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics. We are seeking a Principal Scientist to join our Biologics Cell Line Development team in Boston, MA and help push the boundaries of biotherapeutic cell line development. This role is for a scientific innovator and a manager of junior scientists. The successful candidate will conduct & supervise CHO-based cell line development for biologic therapeutics moving into clinical development. Significant effort designing complex experimental approaches to improve expression systems and workflows through innovation and implementation of new technology is also an important part of this role. The successful candidate will also work cross-functionally with Asimov's synthetic biology, modeling, process development and analytical teams. This is a unique opportunity to work at a nimble, forward-thinking synthetic biology startup and help build the future of biological engineering. About the Role: - You'll perform CHO cell line development processes including transfection, cloning, characterization, and cell banking using state-of-the-art equipment. - You'll drive innovation through the development of improved genetic components, host cell line engineering and cell line development process optimization. - You'll identify emerging practices for biologics cell line development and manufacturing to shape scientific strategies and continued innovation. - You'll represent the cell line development team on cross-functional projects, making decisions for cell line activities and effectively ### Data Scientist - Bedrock Robotics - Location: New York, NY, New York City, New York, United States, San Francisco, CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Apply: https://jobs.ashbyhq.com/bedrock-robotics/4bd2e282-a7d5-4605-9483-8bfa89e567f6 - Excerpt: Data Scientist New York, NY, New York City, New York, United States, San Francisco, CA Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us. The Role: Bedrock Robotics is hiring a Data Scientist to lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators. You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ### Senior Scientist, mRNA engineering - NewLimit - Location: South San Francisco (unspecified) - Salary: $160K-$185K - Posted: 2026-04-22 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/newlimit/jobs/5979490004 - Excerpt: Senior Scientist, mRNA engineering South San Francisco About NewLimit NewLimit is a biotechnology company working to radically extend human healthspan. We're developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale. Position NewLimit is seeking a Senior Scientist to drive our mRNA production and engineering efforts. This is a hands-on, lab based role focused on the synthesis, purification, and characterization of mRNA at large scales and high purities. You will serve as the technical lead for our production workflow, bridging the gap between molecular design and high quality material generation for in vivo and in vitro studies. What you'll do As a member of our team, you will: - Execute and scale end-to-end mRNA production, including template preparation, in vitro transcription (IVT), and purification (TFF, chromatography). - Implement rigorous quality control assays, including direct RNA sequencing, fragment analysis, dsRNA quantitation, and residual contaminant analysis. - Author and maintain detailed SOPs and batch records, ensuring all production runs meet GLP standards. - Independently design and execute experiments to improve mRNA sequence potency, specificity, and manufacturing performance. - Train, manage, and mentor other team members on mRNA optimization and production workflows. Requirements - PhD in molecular biology, biochemistry, cell biology, or a related field or equivalent industry experience (5+ years). - Deep hands-on experience ### Senior Scientist, Biologics Cell Line Development - Asimov - Location: Boston, MA (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/asimov/63faa6b3-f84f-4181-bc2e-8e0c0f885cc8 - Excerpt: Senior Scientist, Biologics Cell Line Development Boston, MA Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics. We are seeking a Senior Scientist to join our Biologics Cell Line Development team in Boston, MA and help push the boundaries of biotherapeutic cell line development. This role is for a scientific innovator and a manager of junior scientists. The successful candidate will conduct & supervise CHO-based cell line development for biologic therapeutics moving into clinical development. Significant effort designing complex experimental approaches to improve expression systems and workflows through innovation and implementation of new technology is also an important part of this role. The successful candidate will also work cross-functionally with Asimov's synthetic biology, modeling, process development and analytical teams. This is a unique opportunity to work at a nimble, forward-thinking synthetic biology startup and help build the future of biological engineering. About the Role: - You'll perform CHO cell line development processes including transfection, cloning, characterization, and cell banking using state-of-the-art equipment. - You'll drive innovation through the development of improved genetic components, host cell line engineering and cell line development process optimization. - You'll identify emerging practices for biologics cell line development and manufacturing to shape scientific strategies and continued innovation. - You'll represent the cell line development team on cross-functional projects, making decisions for cell line activities and effectively ### Member of the Technical Staff, Biological Data - Output Biosciences - Location: New York HQ 🗽 | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/output/a98270b8-768c-4460-90d4-90cae895e669 - Excerpt: Member of the Technical Staff, Biological Data New York HQ 🗽 | Remote The Role Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will own the data that our models learn from. This role requires a deep understanding of molecular biology - what a biological data source contains, what it implies, and what is missing. The quality and coverage of training data determines what our models can learn, and the biological insight behind how that data is constructed is the difference between a model that memorizes and one that reasons. - You will construct training datasets that capture how proteins and molecules interact, drawing from diverse biological data sources and extending them with your understanding of molecular principles - You will develop methods to expand training data beyond what exists in public databases, using biological and chemical reasoning to create new training signal where current data is sparse or absent - You will design benchmarks grounded in real molecular phenomena, measuring whether ### Machine Learning Engineer - Perception - Zoox - Location: Foster City, CA (unspecified) - Salary: Not disclosed - Posted: 2025-07-09 - Apply: https://jobs.lever.co/zoox/50b011cc-1023-4d9a-b8be-c938e2c12f13 - Excerpt: Machine Learning Engineer - Perception Foster City, CA The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions. The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions. In this role, you will: - Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context - Understand and curate real and synthetic datasets to improve our models - Perform latency optimization and deploy models to our robot fleet - Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work - Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex ### General Interest - Absci Corp - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2024-09-24 - 401(k) match: listed (not source-backed) - Apply: https://www.absci.com/careers/roles/?gh_jid=6219561003 - Excerpt: General Interest United States About Absci Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets. Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn ( @absci ), X ( @Abscibio ), and YouTube . General Application: Join Absci and Redefine Possible Job Description At Absci, we are always on the lookout for extraordinary talent to help us redefine the boundaries of science and innovation. While we may not have your dream job listed today, we encourage you to submit a general application. By doing so, you'll be the first to know when the right opportunity becomes available tomorrow. Areas of Focus - Drug Discovery (In-Vitro and In-Vivo bioassays) - Translational Research - Protein Engineering and Structural Biology - Analytical Chemistry - Protein Purification - Fermentation - Bioinformatics - Software Engineering and Data Science - Machine Learning and AI - Business Development - Corporate (Legal, Administration, Finance, HR, etc.) Qualifications We are seeking candidates who embody Absci's core values and are eager to immerse themselves in our innovative and collaborative company culture. Successful candidates will thrive in our dynamic innovative environment and contribute as key members of project teams. If you share our vision and are excited to be part of a ### Research Scientist / Engineer - Video Generation Modeling - Rhoda AI - Location: Palo Alto, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Apply: https://jobs.ashbyhq.com/rhoda-ai/39f7e0c9-067a-4c14-b041-dc9d68f04451 - Excerpt: Research Scientist / Engineer - Video Generation Modeling Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Research Scientists and Research Engineers to push the frontier of large-scale pre-training for our video action model. Our approach formulates robot control as video prediction - we pre-train causal video generation models on web-scale video data, then adapt them to predict robot actions from real-world demonstrations. You'll work on the core architectures, training objectives, and scaling strategies that determine how well our models learn from internet-scale video. We hire across levels - from senior to staff - and welcome both research-track and engineering-track candidates. What You'll Do - Design and train large-scale causal video generation models on web-scale video data - Develop and validate training objectives, model architectures, and data mixtures for video prediction at scale - Research scaling laws and data efficiency for web-scale video pretraining - Investigate what properties of web video transfer most effectively to robotic control and action prediction - Build ### Cloud Infrastructure Engineer - Apple - Location: Sunnyvale, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-01-29 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200644360/cloud-infrastructure-engineer?team=HRDWR - Excerpt: Cloud Infrastructure Engineer Sunnyvale, United States of America The Synthetic Data Group (SDG) Cloud Infrastructure team at Apple is responsible for building the next generation of secure, high-performance cloud services to support machine learning/GenAI and synthetic data initiatives. We are a multi-functional team solving challenging engineering problems across distributed systems, large-scale data infrastructure, and cloud services. In this role, you will architect and develop the cloud infrastructure powering Apple's Machine Learning and Synthetic Data Platform. You will design scalable services and pipelines to process and manage large volumes of data, enabling cutting-edge ML applications. This role involves tackling complex distributed system challenges - from optimizing data storage and retrieval to ensuring low-latency, high-throughput computations - all while maintaining world-class security and reliability. You will collaborate closely with machine learning engineers, data scientists, and other engineering teams to integrate new algorithms and data sources into our platform. Your work will involve full-stack ownership of cloud services: from defining system architecture and APIs to implementing back-end services and deploying infrastructure as code. We use a broad range of technologies including AWS services, Kubernetes, Terraform, Golang, and modern databases. We value simplicity and rigor: you will drive for clean, maintainable designs and use data-driven insights to continuously improve performance and scalability. You will also mentor other engineers and play a key role in setting technical direction. You'll have the opportunity to innovate - exploring alternative technologies, prototyping new solutions, and influencing product direction to better serve our internal customers. If you are excited ### Scientist - Amgen - Location: US - Massachusetts - Cambridge (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/US---Massachusetts---Cambridge/Scientist_R-243911 - Excerpt: Scientist US - Massachusetts - Cambridge posted: Posted 14 Days Ago ### Postdoctoral Scholar Computational Chemistry - Johnson & Johnson - Location: Beerse, Antwerp, Belgium (unspecified) - Salary: Not disclosed - Posted: 2026-05-21 - 401(k) match: listed (not source-backed) - Apply: https://jj.wd5.myworkdayjobs.com/JJ/job/Beerse-Antwerp-Belgium/Postdoctoral-Scholar-Computational-Chemistry_R-074695 - Excerpt: Postdoctoral Scholar Computational Chemistry Beerse, Antwerp, Belgium posted: Posted 22 Days Ago ### Senior / Staff 3D Engine Software Engineer - Simulation - Zoox - Location: Foster City, CA (unspecified) - Salary: Not disclosed - Posted: 2026-04-06 - Apply: https://jobs.lever.co/zoox/cfcef305-3f40-498d-8b96-0bd08b2d46d4 - Excerpt: Senior / Staff 3D Engine Software Engineer - Simulation Foster City, CA The Zoox 3D Sensor Simulation team's work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a 3D Engine professional who spans both modern 3DGS techniques and traditional 3D graphics, including ray tracing and PBR rendering. This role lies at the heart of 3D simulation at Zoox, ranging from cinema-quality offline rendering for software-in-the-loop (SIL) simulation, to optimized realtime 3D graphics for hardware-in-the-loop (HIL) simulation. With sensor simulation (cameras, lidar, and radar,), you'll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. The Zoox 3D Sensor Simulation team's work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a 3D Engine professional who spans both modern 3DGS techniques and traditional 3D graphics, including ray tracing and PBR rendering. This role lies at the heart of 3D simulation at Zoox, ranging from cinema-quality offline rendering for software-in-the-loop (SIL) simulation, to optimized realtime 3D graphics for hardware-in-the-loop (HIL) simulation. With sensor simulation (cameras, lidar, and radar,), you'll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: - Design, implement, and validate 3D rendering software for sensor simulation deployed in autonomous vehicle (AV) simulation pipelines. - Collaborate with Synthetic Data and HIL Sim teams ### Full Stack Engineer, Scientific AI Models - Benchling - Location: San Francisco, CA | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/323e4f43-cd7d-4b6c-acad-981893636bfb - Excerpt: Full Stack Engineer, Scientific AI Models San Francisco, CA | Hybrid | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW The Model Hub team is building a computational platform that provides access to cutting-edge scientific AI models to help scientists ### Principal Scientist, Peptide Therapeutics - Genentech, Inc. - Location: South San Francisco, California, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-02-24 - 401(k) match: listed (not source-backed) - Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Principal-Scientist--Peptide-Therapeutics_202602-103654/apply - Excerpt: Principal Scientist, Peptide Therapeutics South San Francisco, California, United States of America This is a primarily lab-based, technical leadership position within the Peptide Therapeutics department. In this lab-based leadership role, you will combine hands-on synthetic expertise with strategic... ### Ingénieur conception ou vérification expérimenté Calculateur (F/H) - Thales - Location: Bordeaux, Gironde, France (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://thales.wd3.myworkdayjobs.com/Careers/job/Bordeaux/Architecte-Hardware-Calculateur--F-H-_R0327873-1/apply - Excerpt: Ingénieur conception ou vérification expérimenté Calculateur (F/H) Bordeaux, Gironde, France Nous recherchons un Ingénieur conception ou vérification expérimenté pour rejoindre notre équipe à Bordeaux. Vous serez responsable de l'architecture matérielle et de la coordination technique des projets. Si vous avez une solide expérience en hardware et en gestion de projet, postulez dès maintenant ! ### Senior Scientist I Computational Chemistry - AbbVie Inc. - Location: North Chicago, IL, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/AbbVie/3743990013207177-senior-scientist-i-computational-chemistry - Excerpt: Senior Scientist I Computational Chemistry North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Molecular Profiling and Drug Delivery (MPDD) function within the Synthetic Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During virtual screening/lead generation/optimization and through candidate selection, MPDD scientists utilize state of the art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaboratively design and progress candidates with higher probability of success into development and advise clinical drug delivery strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientists work in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. Computational chemists within AbbVie's MPPD organization work collaboratively with other functions within Development Sciences and Discovery Sciences across two focus areas: molecular design and profiling and formulation design across modalities. MPDD ### Postdoctoral Researcher, AI and Systems Co-design Team - Meta - Location: Menlo Park, CA (unspecified) - Salary: $122K-$181K - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1001867045712948/ - Excerpt: Postdoctoral Researcher, AI and Systems Co-design Team Menlo Park, CA Conduct research across AI hardware, software, and algorithms. Responsibilities: - Utilize extensive understanding of hardware architecture and software to analyze the scalability bottlenecks in our AI and Compute Fleet - Conduct state-of-the-art research to advance the science and technology of AI infrastructure - Collaborate closely with the team as well as cross-functional partners across a broad range of disciplines and contribute towards Meta's research product development - Influence progress of relevant research communities by producing high-quality publications - Open source research code and conduct reproducible research - Bring the latest ideas to Meta, e.g., through inviting leading researchers to talk to their work at Meta, through sharing advances in the field through internal talks and notes - Build a research program for your future Minimum qualifications: - Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta - Close to completing/recently completed PhD in CS or related fields - Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research - Relevant research experience working onAI hardware, software, and algorithms - Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Preferred qualifications: - Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals and conferences - Experience with driving ### Sr. Director, Field Technology and AI - Elastic NV - Location: United States (unspecified) - Salary: $212K-$336K - Posted: 2026-05-27 - Parental leave: 16 weeks (not source-backed) - 401(k) match: 6% (not source-backed) - Apply: https://jobs.elastic.co/jobs?gh_jid=7954418&gh_jid=7954418 - Excerpt: Sr. Director, Field Technology and AI United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action. Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM ### Senior Medical Science Liaison (California/U.S. Oncology) - Tango Therapeutics Inc - Location: Boston, MA (unspecified) - Salary: $164K-$246K - Posted: 2026-04-24 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/tangotherapeutics/jobs/7712049003 - Excerpt: Senior Medical Science Liaison (California/U.S. Oncology) Boston, MA Company Overview Tango Therapeutics is a biotechnology company dedicated to discovering novel drug targets and delivering the next generation of precision medicine for the treatment of cancer. Using an approach that starts and ends with patients, Tango leverages the genetic principle of synthetic lethality to discover and develop therapies that take aim at critical targets in cancer. This includes expanding the universe of precision oncology targets into novel areas such as tumor suppressor gene loss and their contribution to the ability of cancer cells to evade immune cell killing. The Tango labs and offices are located at 201 Brookline Avenue, in the Fenway area of Boston, Massachusetts. Summary The Senior MSL is a U.S. field-based role within Medical Affairs, reporting to the Executive Director, Medical Affairs. This role will be a core member of Tango's growing field medical team during a critical phase of development. The Senior MSL will be responsible for high‑quality scientific exchange, trial execution support, medical education, and insight generation across priority solid tumor indications, with an initial focus on pancreatic cancer (PDAC), non-small cell lung cancer (NSCLC), and our evolving pipeline programs. This role is ideal for an individual who wants to operate at the intersection of clinical development, external scientific engagement, and launch readiness in a late-emerging biotech environment, where individual impact is high and scientific accountability matters. Your role Primary Focus: Solid tumors (pancreatic cancer (PDAC), non-small cell lung cancer (NSCLC) Scientific Exchange & External Engagement ### Scientist, Protein Expression & Purification - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/2c8c23dd-dab9-4876-bc0d-a5ffd68a3179 - Excerpt: Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust, ### Research Scientist Intern PhD, Applied Research - Meta - Location: Bellevue, WA; Menlo Park, CA; New York, NY (unspecified) - Salary: $8K-$12K/mo - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/2633206137040139/ - Excerpt: Research Scientist Intern PhD, Applied Research Bellevue, WA; Menlo Park, CA; New York, NY Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join our Products and Applied Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques - Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project - Perform research to advance the science and technology of intelligent machines - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results - Disseminate research results - Publish research results and contribute to ### Senior Medical Science Liaison (Northeast/U.S. Oncology) - Tango Therapeutics Inc - Location: Boston, MA (unspecified) - Salary: $158K-$236K - Posted: 2026-04-24 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/tangotherapeutics/jobs/7710948003 - Excerpt: Senior Medical Science Liaison (Northeast/U.S. Oncology) Boston, MA Company Overview Tango Therapeutics is a biotechnology company dedicated to discovering novel drug targets and delivering the next generation of precision medicine for the treatment of cancer. Using an approach that starts and ends with patients, Tango leverages the genetic principle of synthetic lethality to discover and develop therapies that take aim at critical targets in cancer. This includes expanding the universe of precision oncology targets into novel areas such as tumor suppressor gene loss and their contribution to the ability of cancer cells to evade immune cell killing. The Tango labs and offices are located at 201 Brookline Avenue, in the Fenway area of Boston, Massachusetts. Summary The Senior MSL is a U.S. field-based role within Medical Affairs, reporting to the Executive Director, Medical Affairs. This role will be a core member of Tango's growing field medical team during a critical phase of development. The Senior MSL will be responsible for high‑quality scientific exchange, trial execution support, medical education, and insight generation across priority solid tumor indications, with an initial focus on pancreatic cancer (PDAC), non-small cell lung cancer (NSCLC), and our evolving pipeline programs. This role is ideal for an individual who wants to operate at the intersection of clinical development, external scientific engagement, and launch readiness in a late-emerging biotech environment, where individual impact is high and scientific accountability matters. Your role Primary Focus: Solid tumors (pancreatic cancer (PDAC), non-small cell lung cancer (NSCLC) Scientific Exchange & External Engagement ### Research Scientist - OpenEvidence - Location: San Francisco, California, United States, Miami (unspecified) - Salary: Not disclosed - Posted: 2026-02-11 - Apply: https://jobs.ashbyhq.com/openevidence/80ca886f-2c07-43b2-8978-07c37542a207 - Excerpt: Research Scientist San Francisco, California, United States, Miami Role As a Research Scientist working at OpenEvidence, you will push the boundaries of what modern models are capable of, bringing a research background focused on building real systems instead of writing papers. You will own problems end-to-end with autonomy, treating evaluation and quantitative proof as first-class citizens in everything you create. We hire exceptional builders, not in narrow lanes. Engineers and scientists work across products and projects, owning work wherever they can create the most impact. About Us OpenEvidence is the most widely used medical AI platform in the world. In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk. Culture We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished ### Member of Engineering (Pre-training / Synthetic Data) - Poolside - Location: Remote (US), United States (remote) - Salary: Not disclosed - Posted: 2026-01-29 - Apply: https://jobs.ashbyhq.com/poolside/f99aaa7d-473b-4710-8d2d-5f9893fb5b15 - Excerpt: Member of Engineering (Pre-training / Synthetic Data) Remote (US), United States ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company : to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. ABOUT OUR TEAM We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration in Paris each month for 3 days, with an open invitation to stay the whole week. For those based in PST, we understand this is ### Forward Deployed Engineer - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/3377f1b8-10b8-45c3-b03c-1c065b4f8608 - Excerpt: Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire ### Sicherheits, Gesundheits und Umweltschutz Spezialist im Bereich SHE Support & Compliance - Roche Holding AG - Location: Basel, Basel-City, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Apply: https://roche.wd3.myworkdayjobs.com/roche-ext/job/Basel/Sicherheits--Gesundheits-und-Umweltschutz-Spezialist-im-Bereich-SHE-Support---Compliance_202606-113971-1/apply - Excerpt: Sicherheits, Gesundheits und Umweltschutz Spezialist im Bereich SHE Support & Compliance Basel, Basel-City, Switzerland Synthetic Molecules Technical Development (PTDC) ist verantwortlich für die Entwicklung und Herstellung von Drug Substance (DS), Drug Product (DP), sowie die analytische Entwicklung und Qualitätskontr... ### Integrated DNA Technologies - Danaher Corporation - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://jobs.danaher.com/global/en/integrated-dna-technologies - Excerpt: Integrated DNA Technologies Careers at Integrated DNA Technologies | Apply Now Careers at IDT Search jobs at IDT → For more than 35 years, IDT has been enabling genomics laboratories with an oligonucleotide manufacturing process unlike anyone else in the industry, with the most advanced synthesis, modification, purification, and quality control capabilities available. Dr. Joseph Walder established IDT in 1987 with a dedication to innovation, the highest standards of quality, and a promise to maintain deep genomics expertise. From this strong foundation, IDT has evolved from a leading oligo manufacturer to a genomics solutions provider supporting key areas such as next generation sequencing, CRISPR, synthetic biology, and PCR, equipping researchers with the right tools when they needed them. With these core efforts, IDT teams have been behind the scenes helping to drive science forward with increased quality, volume, efficiencies, and unmatched customer service. IDT today Technology is evolving faster than ever before. Scientists leading the transition from basic to translational research face new challenges with securing the custom solutions necessary to advance their research out of the lab and into the clinic. These emerging barriers have collectively slowed down critical discoveries with potentially profound impacts on human and ecological health. ​​​​​​​ To help overcome these obstacles and push the boundaries of technology, IDT has expanded production facilities and capabilities to include GMP* and cGMP manufacturing grades. These additions provide customers with a genomics solutions partner capable of supporting the entire research journey. IDT's infrastructure supports customers around the globe with ### Scientist - Nutrien Ltd. - Location: City Biola (unspecified) - Salary: $69K-$100K - Posted: 2026-06-12 - Apply: https://jobs.nutrien.com/North-America/job/Kerman-Scientist-CA-93630/32000-en_US/ - Excerpt: Scientist City Biola Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future , is the reason we come to work each day. We're guided by our culture of care and our core values: We put safety first. We act with integrity. We are stronger together. We deliver with excellence. Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure future for all stakeholders. Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien. The Soil Microbiologist is primarily a hands-on laboratory scientist who conducts experiments related to the effects of natural and synthetic soil amendments on soil microbial processes related to soil fertility and crop growth; contributes to the safety and science output of a working soils laboratory which uses a wide variety of raw materials; interacts with product development teams and their leaders; and is accountable for tightly focused research which helps develop products with clearly demonstrated mechanisms which drive our company's business growth. The soil microbiologist is expected to possess skills that blend molecular lab skills, field sampling techniques, and a deep understanding of nutrient cycling, soil health, and microbial ecology. The ### Supercompute Engineer - Periodic Labs - Location: Menlo Park, California, United States (unspecified) - Salary: $350K-$450K - Posted: 2026-04-30 - Apply: https://jobs.ashbyhq.com/periodic-labs/34b91b7f-3564-425f-8008-b1adc57464dc - Excerpt: Supercompute Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role As a Supercomputing Engineer at Periodic Labs, you will design, build, and operate the high-performance computing infrastructure that powers our AI and scientific research. Our models demand extreme compute at scale - large GPU and CPU clusters, high-speed interconnects, low-latency parallel storage, and workload schedulers that make every cycle count. You will work directly with researchers and infrastructure engineers to ensure our compute environment is fast, reliable, and optimized for scientific discovery at the frontier. This is a deeply hands-on role. You will architect and tune systems, automate provisioning, diagnose performance bottlenecks, and design for resilience at scale. You'll partner with research and ML teams to understand their workloads and shape an HPC environment that removes friction and accelerates science. What You'll Do - Design, deploy, and operate large-scale GPU and CPU clusters for AI training, scientific simulation, and research workloads - Manage and optimize high-speed interconnect fabrics (InfiniBand, RoCE) and parallel filesystems (Lustre, GPFS, WEKA, or equivalent) for maximum throughput and minimum latency - Own workload scheduling and resource management ### Forward Deployed Engineer - LLM Systems - Periodic Labs - Location: Menlo Park, California, United States (unspecified) - Salary: $350K-$400K - Posted: 2026-04-23 - Apply: https://jobs.ashbyhq.com/periodic-labs/dbac407f-a408-44a3-9e7a-895d42649edc - Excerpt: Forward Deployed Engineer - LLM Systems Menlo Park, California, United States The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will be a key builder behind the world's first on-prem LLM system for atoms, deploying inference and reinforcement learning systems directly into semiconductor fabs where the science happens. The role splits roughly 80% LLM system development and deployment, and 20% semiconductor customer interaction - translating fab requirements into engineering specs and ensuring our systems meet the realities of production. You will move fluidly between improving LLM systems, managing Kubernetes clusters, and interacting with semiconductor experts - owning deployments end-to-end and serving as the technical face of our system to vendor partners. You will also work closely with LLM systems and modeling experts from OpenAI, Anthorpic, xAI, Google, and other frontier labs. What You'll Do - Deploy and operate inference and reinforcement learning systems on-site at semiconductor partner facilities, from bring-up through ongoing operation - Build and maintain the on-prem LLM platform powering our atomic-scale science workflows, including orchestration, scheduling, observability, and reliability - Develop and extend open-source LLM frameworks (SGLang, vLLM, Megatron, Slime) to meet the performance and integration ### Senior Data Scientist - Real World Data - Formation Bio - Location: New York, NY; Boston, MA; San Francisco, CA; Raleigh-Durham, NC (unspecified) - Salary: $204K-$267K - Posted: 2026-03-30 - Apply: https://job-boards.greenhouse.io/formationbio/jobs/7757932 - Excerpt: Senior Data Scientist - Real World Data New York, NY; Boston, MA; San Francisco, CA; Raleigh-Durham, NC About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: - Our Vision for AI in Pharma - Our Current Drug Portfolio - Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position We're looking for a Senior Data Scientist to join the ### Senior Scientist, Bio AI - Earli - Location: Redwood City, CA (unspecified) - Salary: $205K-$235K - Posted: 2026-03-12 - Apply: https://www.earli.com/application?gh_jid=5823448004 - Excerpt: Senior Scientist, Bio AI Redwood City, CA Earli is a BioAI therapeutics firm in Redwood City, California that programs cancer to turn against itself. Cancer cells become hyperlocal factories for potent immune therapies that are otherwise too toxic to be used systemically . Earli AI-designs synthetic genetic switches that are intravenously injected but ONLY activate in cancer cells, using non-integrating DNA in a stealth LNP. Once activated, they force the cancer cells to produce encoded proteins - T cell engagers, cytokines, agonists - that activate the immune system to kill the cancer. The hyperlocal activation avoids on-target/off-tumor effects and drives up the therapeutic index. Instead of focusing on where the drug goes , Earli changes where the drug is produced . Who You Are - You share our same sense of dedication, scientific passion and entrepreneurial spirit - You work well in a fast-paced and extremely focused startup environment - You are not only smart, but clever and constantly think outside the box - You are able to make logical decisions in an instant when there is little time to evaluate - You are a natural communicator and relationship builder - You stay calm under high pressure and stress - You have the ability to multi-task in a serious way, with an extreme attention to detail - You become a representative of the core DNA of the company through who you are The Position Earli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic ### Generative AI Applied Scientist, SIML - ISE - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-06-09 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200632699/generative-ai-applied-scientist-siml-ise?team=MLAI - Excerpt: Generative AI Applied Scientist, SIML - ISE Cupertino, United States of America Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment. We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream ### Member of Technical Staff, Research - Abundant - Location: San Francisco | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/abundant/433ba781-e5b3-4720-b3b7-cb364fbc104b - Excerpt: Member of Technical Staff, Research San Francisco | Hybrid | Remote ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience. What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already ### Data Scientist, SPX AI Lab, SPX Science - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $136K-$184K - Posted: 2026-03-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3201258/data-scientist-spx-ai-lab-spx-science - Excerpt: Data Scientist, SPX AI Lab, SPX Science Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists, product managers and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities -- Respond to Seller feedback and implement fix in Gen AI solution to enhance Seller experience -- Drive deep-dive analytical studies to understand seller pain points, evaluate feature performance, and identify opportunities to improve the Selling Partner experience. -- Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi-experiments, and observational causal methods (e.g., diff-in-diff, synthetic control, propensity score methods). -- Develop scalable analytical pipelines for impact measurement, KPI development, metric integrity validation, and long-term business monitoring. -- Apply NLP and statistical modeling techniques-including topic modeling, clustering, semantic similarity, and classification-to uncover insights from unstructured seller interactions, feedback, and content. -- Partner with scientists, engineers, economists, and ### Platform Scientist, Soft Materials - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $108K-$150K - Posted: 2025-12-23 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4088253009 - Excerpt: Platform Scientist, Soft Materials Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking Platform Scientists, Soft Materials Focus to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation-partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure-property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research. What You'll Be Building - Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems - Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays - Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts - Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales - Transfer successful prototypes into production-ready systems within Lila's AI Science Factory platform, enabling autonomous experimentation What You'll Need to Succeed - MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials - Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts - Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays - Experience designing and ### Battery Anode Material Product Development Engineer - Exxon Mobil Corporation - Location: Alternate Job Posting Location | Job City/State (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.exxonmobil.com/job/Spring-Battery-Anode-Material-Product-Development-Engineer-TX-77389/1380360100/ - Excerpt: Battery Anode Material Product Development Engineer Alternate Job Posting Location | Job City/State What role you will play in our team Battery Anode Materials Engineer / Scientist / Product Developer for leading synthetic graphite grade development and delivering advantaged products with differentiated performance in lithium ion battery cells. The role will work closely with other functions (marketing, sales and innovation group) and will maintain continual open/working interfaces with Customer and Application Developers, Process Technologists and Researchers in the development of these materials. Scope of effort covers initial benchtop/laboratory scale work as well as pilot and commercial operations. Candidate will be responsible for product design & quality starting from ExxonMobil initial development and production and continuing to customer processing and application fit-for-use. What you will do Identify and implement new battery anode material grade opportunities by Incorporating market-back needs / concepts in combination with developing innovative technical approaches. Drive product development workflows at lab and pilot scales for internal and customer testing needs. Scope includes prototypes, validation, and scale-up. Identify/implement new equipment and analytical capabilities as required Provide technical leadership to define product research needs and participate in quality assurance for research and research applications. Lead product interface for synthetic graphite process development teams at lab, pilot unit and commercial scale. Own product specs and proc ### Scientist, Antibody Developability - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/206ef8b0-0a46-4a55-8aa9-ed495c165d53 - Excerpt: Scientist, Antibody Developability Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out antibody developability at Adaptyv - the panel of assays that separates a nice binder from a manufacturable, stable, well-behaved therapeutic. Aggregation, thermostability, self-association, polyreactivity, solubility, viscosity, and chemical liabilities: you'll build the experimental stack that flags these early, and make it something customers can order as a product. These assays exist today as a scattered, bespoke collection. Your ### Senior Simulation Machine Learning Engineer - Special Projects - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2025-12-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200637187/senior-simulation-machine-learning-engineer-special-projects?team=MLAI - Excerpt: Senior Simulation Machine Learning Engineer - Special Projects Cupertino, United States of America Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Animation Engineer. You would join a team building simulation art assets. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. As a Senior Simulation Machine Learning Engineer, you will join an innovation-driven team advancing Apple's simulation and synthetic data technology to support a wide range of AI/ML initiatives. You will design, prototype, and productionize systems that generate high-quality 3D scenarios and multi-modal synthetic datasets used throughout Apple's ML ecosystem. We're looking for an engineer with deep experience, strong ML intuition, and the ability to turn ambitions into robust tools. You should be comfortable exploring new ideas, iterating quickly, and driving solutions from prototype to polished implementation. Collaboration is essential - you will partner closely with engineers, ### Full Stack Software Engineer - Inductive Bio - Location: New York City, San Francisco, or Boston, United States (unspecified) - Salary: Not disclosed - Posted: 2026-03-24 - Apply: https://jobs.ashbyhq.com/inductive-bio/02725e91-1a91-4da7-a4bb-b8e1867c9996 - Excerpt: Full Stack Software Engineer New York City, San Francisco, or Boston, United States Drug discovery is a design problem. Chemists spend hours each week combining experimental data with their own intuition to design molecules that they believe will be potent against a biological target, absorb well into the body, and be non-toxic. This effort takes years to succeed and costs millions of dollars - all while patients' needs for new therapeutics go unmet. At Inductive Bio, our goal is to build software that can dramatically improve how molecules are designed. To do so, we are building a Figma-like platform, backed by scalable infrastructure and state-of-the-art AI, that allows the best drug discovery teams in the world to collaborate effectively on this challenging design problem. Our platform is already being used on more than 30 active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and we are advised by world-class drug discovery experts. We are seeking a full-stack software engineer to join our talented, ambitious, and kind team. You'll have the opportunity to contribute across our stack, from scaling our backend serving and MLOps infrastructure to deploying new features directly into our molecule design UI. You'll wear many hats and have the opportunity to work directly with chemists, ML Engineers, and our users. As an early engineer at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: ### Wetlab Protocol Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4645510101 - Excerpt: Wetlab Protocol Specialist - Freelance AI Trainer Project United States of America Are you a master of wetlab protocols 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, optimize laboratory workflows, and enhance reproducibility in life science research. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for specialists who live and breathe wetlab techniques, protocol development, experimental design, sterile technique, reagent preparation, quality control, and biosafety practices. You'll challenge advanced language models on topics like PCR and qPCR protocols, cell culture methods, nucleic acid extraction, microscopy preparations, assay standardization, troubleshooting experiments, and lab safety procedures-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on practical lab scenarios and theoretical protocol questions, verify factual accuracy and logical workflow, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in molecular biology, microbiology, biochemistry, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience in wetlab research, or clinical laboratory practice signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your wetlab protocol 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 ### Senior Director, Medicinal Chemistry - Genesis Molecular AI - Location: San Diego, CA (unspecified) - Salary: Not disclosed - Posted: 2026-04-08 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/064a5c33-a519-4a4c-96e5-13937ffd2615 - Excerpt: Senior Director, Medicinal Chemistry San Diego, CA The successful candidate will utilize the Genesis Molecular AI platform and guide medicinal chemistry efforts to drug discovery programs from Hit ID through candidate nomination. They will collaborate and/or lead multidisciplinary drug discovery projects and be responsible for shaping medicinal chemistry strategy on those projects. The candidate will be expected to be a medicinal chemistry leader and strong communicator. What You Will Do (Key Responsibilities) - Formulate medicinal chemistry strategies and utilize the Genesis platform to execute drug discovery programs from Hit ID through candidate nomination. - Use Structure-Based Drug Design (SBDD) principles, optimize physiochemical properties, interpret in vitro and in vivo ADME/PK/Toxicology data, and understand in vitro and in vivo biology data to drive programs. - Use data visualization software and metric based analysis to form medicinal chemistry hypotheses and prioritize strategies. - Communicate and work with industry collaborators on drug discovery projects. - Work with other drug discovery disciplines (biology, DMPK, software engineers, computational chemists) to drive hypothesis driven decisions, improve the platform and contribute to the scientific excellence of the company. - Communicate and engage regularly with project team members and management. - Mentor internal chemists as well as other scientific disciplines on medicinal chemistry principles. What you'll bring - PhD in synthetic organic chemistry or medicinal chemistry with at least 12 years of industrial drug discovery experience OR - MS in synthetic organic chemistry with at least 18 years of industrial drug discovery experience. - Expert medicinal chemistry knowledge ### Senior Software Engineer - AI / ML - Snorkel AI - Location: Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) (hybrid) - Salary: $190K-$240K - Posted: 2026-04-15 - Apply: https://job-boards.greenhouse.io/snorkelai/jobs/5971772004 - Excerpt: Senior Software Engineer - AI / ML Redwood City, CA (Hybrid); San Francisco, CA (Hybrid) About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration . Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before. About the Role - Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, ### Product Scientist - Inductive Bio - Location: New York City, San Francisco, or Boston, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-07 - Apply: https://jobs.ashbyhq.com/inductive-bio/b0e17d5e-b487-4856-8a47-311600d33280 - Excerpt: Product Scientist New York City, San Francisco, or Boston, United States Inductive Bio is an AI medicinal chemistry partner. We build virtual labs that help drug discovery teams make better decisions, faster, across the full DMTA cycle. Our platform includes Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI medicinal chemistry assistant. Through a partnership with Enamine, we also offer library synthesis and direct-to-dose testing, closing the loop from computational design to experimental validation. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners. Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop next-generation toxicity models. This is a remote-friendly role, but we give bonus points to candidates located in Boston, New York, or San Francisco where we have physical offices. While we are flexible on time zone for primary working hours, this role requires availability for external meetings that frequently occur during Eastern Time business hours. The Role We're seeking a seasoned computational or medicinal chemist to join the Product Science team as a Product Scientist . You'll be the primary Inductive scientific lead on partner programs, applying your med chem, comp chem, and DMPK expertise to real molecular optimization problems with a focus on dose-centric optimization. You'll work across a wide range ### Chemical Engineering Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4628970101 - Excerpt: Chemical Engineering Specialist - Freelance AI Trainer Project United States of America Are you a chemical engineering 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 and industrial processes for engineers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for chemical engineering specialists who live and breathe thermodynamics, reaction engineering, process design, transport phenomena, chemical kinetics, catalysis, materials science, and biochemical engineering. You'll challenge advanced language models on topics like reactor optimization, heat and mass transfer, fluid mechanics, phase equilibria, process safety, separation processes, polymer science, and industrial process control-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world engineering scenarios and theoretical chemical engineering questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in chemical engineering or a closely related engineering field is ideal; peer-reviewed publications, process simulations, lab-scale or pilot-plant experience, or industry work with tools like Aspen Plus or COMSOL signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your chemical engineering 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 ### Bioengineer / Molecular Biologist - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/a83daf13-a066-4ca7-b167-a2eefa85fc5a - Excerpt: Bioengineer / Molecular Biologist Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and ### Sr. Manager, Engineering, DEM - Netskope - Location: Bengaluru, Karnataka, India (unspecified) - Salary: Not disclosed - Posted: 2026-05-23 - Apply: https://www.netskope.com/company/careers/open-positions/?gh_jid=7842974 - Excerpt: Sr. Manager, Engineering, DEM Bengaluru, Karnataka, India About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter @Netskope . About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Digital Experience Management (DEM) Engineering team builds distributed systems for efficient data ingestion, processing, storage and query. The team is also responsible for building products for Real User Monitoring and Synthetic Monitoring. We work closely with the various Engineering, Data Science, and the Product Team to build highly scalable systems that tackle real-world ### Director, Medicinal Chemistry - Kymera Therapeutics Inc - Location: Watertown, MA (unspecified) - Salary: $195K-$275K - Posted: 2026-05-20 - 401(k) match: listed (not source-backed) - Apply: https://www.kymeratx.com/careers-culture/working-at-kymera/?gh_jid=7742050003#open-positions - Excerpt: Director, Medicinal Chemistry Watertown, MA Who we are: Kymera is a clinical-stage biotechnology company pioneering the field of targeted protein degradation (TPD) to develop medicines that address critical health problems and have the potential to dramatically improve patients' lives. Kymera is deploying TPD to address disease targets and pathways inaccessible with conventional therapeutics. Having advanced the first degrader into the clinic for immunological diseases, Kymera is focused on building an industry-leading pipeline of oral small molecule degraders to provide a new generation of convenient, highly effective therapies for patients with these conditions. Founded in 2016, Kymera has been recognized as one of Boston's top workplaces for the past several years. For more information about our science, pipeline and people, please visit www.kymeratx.com or follow us on X (formerly Twitter) or LinkedIn . How we work: - PIONEER : We are courageous, resilient and rigorous in our mission to improve patients' lives through our revolutionary degrader medicines. - COLLABORATE : We value trust + transparency from everyone. Our goals are shared, our decisions data-driven and our camaraderie genuine. - BELONG : We recognize our differences, inviting curiosity and inclusivity, so that our people are valued, seen, and heard. How you'll contribute: - Drive state-of-the-art multi-parameter medicinal chemistry optimization with creativity, innovation, in-depth analysis of data, and existing literature information - Contribute in a very impactful manner to compound design and synthetic route identification for all portfolio projects - Lead medicinal chemistry efforts on validating targets at early stage to clear decision ### Postdoctoral Researcher, AI Verification, Separation Logic in Lean - Meta - Location: London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1491239965713036/ - Excerpt: Postdoctoral Researcher, AI Verification, Separation Logic in Lean London, UK Meta is seeking a Postdoctoral Researcher to advance research in program verification. In this role, you will conduct original research focused on embedding Separation Logic into the Lean proof assistant. You will collaborate with research scientists and engineers to publish high-impact work, develop prototype systems, and contribute to the broader scientific community while helping shape the direction of verification by and for AI. Responsibilities: - Conduct original research on program verification, with emphasis on use of AI to discover proofs automatically - Work on embedding Separation Logic into the Lean proof assistant - Collaborate with or build on ongoing community efforts such as CSLib and Iris-Lean - Automate proofs of programs from leading research papers and textbooks, especially for concurrent programs. Investigate proof discovery beyond the leading edge - Develop evaluations and datasets to measure the effectiveness of proof methods - Collaborate with research scientists and engineers on problems related to data for machine learning algorithms and guardrails for AI agents - Author and co-author research papers for submission to peer-reviewed conferences and journals - Collaborate with Meta researchers and engineers on internal verification problems relevant to Meta - Participate in research community programs, seminars, and collaborative initiatives that strengthen the scientific culture of the team Minimum qualifications: - Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related field - Experience with Lean and/or Separation Logic - Experience communicating research findings ### Director of Product Management - Ansa Biotechnologies - Location: Emeryville, CA (unspecified) - Salary: $170K-$200K - Posted: 2026-03-31 - Apply: https://job-boards.greenhouse.io/ansabiotechnologies/jobs/4679842005 - Excerpt: Director of Product Management Emeryville, CA Company Overview: Ansa Biotechnologies is on the forefront of a scientific revolution. We are developing an innovative approach to DNA synthesis, aiming to transcend the boundaries set forth by traditional methods. Our technology is not just a tool; it's a beacon of hope for enabling some of the most pressing synthesis challenges that are gating key developments in health and sustainability. Join us in shaping a future where science leads the way to a better world. Job Description: We are seeking a talented and driven Director of Product Management to join our dynamic team at the forefront of synthetic biology. In this role, you will be responsible for guiding the development and launch of innovative products that meet customer needs and drive business growth. You will collaborate closely with cross-functional teams, including engineering, marketing, sales, and customer support, to deliver exceptional products that align with our company's vision and strategy. This role reports to the VP of Strategic Marketing. This is a hybrid role, on site at least 3 days a week. Applicants must be located in the Bay Area or willing to relocate. Key Responsibilities: - Product Development : As a key stakeholder within the Ansa Product Development Core Team, collaborate with cross-functional teams (R&D, operations, sales, and marketing) to drive products through Ansa's product development process (PDP), lead successful product launches and overall business success. Understand market dynamics, customer needs, and competitive landscapes to inform marketing strategies and product positioning. - Customer --- Source-backed benefit claims include source links; other benefit values are labeled separately.