# FewerJobs export - 100 curated jobs
Generated: 2026-09-28T08:10:16.000Z
Source: https://fewerjobs.com

## Filters applied
- **q**: AlphaSense
- **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**: 6
- **per_page**: 100
- **sort**: relevance

## Jobs
### Analytical Chemistry Specialist - Freelance AI Trainer Project - Agency
- Location: World Wide - Remote (remote)
- Salary: $8-$65/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4631544101
- Excerpt: Analytical Chemistry Specialist - Freelance AI Trainer Project World Wide - Remote Are you an analytical chemistry expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for analytical chemistry specialists who live and breathe spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You'll challenge advanced language models on topics like mass spectrometry, HPLC and GC technique optimization, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical analytical chemistry questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in analytical chemistry or a closely related chemical science field is ideal; peer‑reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your analytical chemistry expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8‑to‑$65 per hour, with the exact rate determined after

### Staff Generative AI Research Engineer, Reasoning & Memory - SIML - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-04-09
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200656712/staff-generative-ai-research-engineer-reasoning-memory-siml?team=MLAI
- Excerpt: Staff Generative AI Research Engineer, Reasoning & Memory - SIML Cupertino, United States of America The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Staff Applied Researcher in Reasoning & Memory Systems. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https://arxiv.org/pdf/2407.21075, (c) https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/ We are seeking a candidate with a track record in algorithm development for agentic reasoning & memory. Key attributes expected in the role are fluency in algorithm development (prompt optimization and post training), strong expertise with relevant techniques (reinforcement learning, multimodal reasoning), and experience with automatic evaluation approaches for agentic workflow. The role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is desired. Minimum Qualifications: PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience Strong ML and Generative Modeling fundamentals Strong expertise in one of the following: Reinforcement Learning, Multimodal Training, Pre-training / Post-training foundation models Proficiency in using ML toolkits, e.g., PyTorch Proven track record of research contributions

### Senior Engineer, AI/Machine Learning - Edwards Lifesciences
- Location: India-Pune (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- 401(k) match: listed (not source-backed)
- Apply: https://edwards.wd5.myworkdayjobs.com/edwardscareers/job/India-Pune/Sr-Engr--AI-ML_Req-47239
- Excerpt: Senior Engineer, AI/Machine Learning India-Pune posted: Posted 14 Days Ago

### ML Scientist I / II, Foundation Models for Life Sciences - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2026-04-28
- Learning budget: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4222051009
- Excerpt: ML Scientist I / II, Foundation Models for Life Sciences San Francisco, CA USA Your Impact at Lila Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains. We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine. This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila's presence in the broader scientific community. What You'll Be Building - Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning - Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors - Be part of the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance - Translate biological questions into well-defined ML problems and interpret model outputs

### Technician I, Production - Ultima Genomics
- Location: Fremont, California, United States (unspecified)
- Salary: $25-$27/hr
- Posted: 2026-05-24
- Apply: https://job-boards.greenhouse.io/ultimagenomics/jobs/6005247004
- Excerpt: Technician I, Production Fremont, California, United States Rapidly Growing Life Sciences Technology Company Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. We are looking for a highly motivated Technician I, Production to join our team! This opportunity is an onsite full-time Monday-Friday contracting position based in our Fremont, CA office. How You'll Contribute - Follow lab protocols and procedures - Assemble, kit, package, label consumables - Maintain accurate and thorough batch records - Manage shared laboratory equipment, perform required instrument calibrations as needed and support instrument maintenance - Prepare, characterize, and perform quality control assays on reagents and buffers - Monitor, track and maintain inventory of raw materials and lab consumables -

### Senior AI Engineer - Cortex Code - Snowflake Inc.
- Location: US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/snowflake/217b1d27-815a-4ad1-b8b7-8fe52e57cd26
- Excerpt: Senior AI Engineer - Cortex Code US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level.About the Role The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA . Your work will directly impact how developers and businesses build with data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team. What you will do

### Staff Software Engineer, AI - Asana Inc
- Location: Warsaw (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Apply: https://www.asana.com/jobs/apply/7978671?gh_jid=7978671
- Excerpt: Staff Software Engineer, AI Warsaw The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work-both within and outside of Asana-and use that understanding to take action. We also own Asana's traditional search experience. As a Staff Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient - Improve the quality and relevance of search results to help users find exactly what they need - Expand the retrieval system's capabilities to query new Asana objects and third-party data sources - Build and optimize search infrastructure using OpenSearch/ElasticSearch - Contribute to ML-powered features like embeddings-based retrieval and semantic search - Collaborate with cross-functional partners

### Machine Learning Video Process Engineer - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $127K-$221K
- Posted: 2026-02-10
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200646252/machine-learning-video-process-engineer?team=HRDWR
- Excerpt: Machine Learning Video Process Engineer Cupertino, United States of America Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated individual to fill in the position of Machine Learning Video Processing Engineer. We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to: Develop and maintain data collection, processing, and curation pipelines to support model training, validation, and testing. Design and implement deep learning algorithms for low-level vision tasks. Optimize models and algorithms for performance, including latency, memory, and computational efficiency. Integrate solutions into end-to-end video processing pipelines. Minimum Qualifications: Minimum requirement of a bachelors degree Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences. Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch Preferred Qualifications: PhD or Masters degree in Machine

### Computational Scientist 3 - Cell & Tissue Genomics - Genentech, Inc.
- Location: South San Francisco, California, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-10
- 401(k) match: listed (not source-backed)
- Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Computational-Scientist-3---Cell---Tissue-Genomics_202604-108731-1/apply
- Excerpt: Computational Scientist 3 - Cell & Tissue Genomics South San Francisco, California, United States of America Join our team as a Senior Computational Scientist in Cell & Tissue Genomics. Analyze cutting-edge high-content imaging data, apply advanced machine learning, and collaborate with leading experts to drive impactful research in disease biology and translational medicine. Shape the future of genomics with innovative computational solutions.

### Toxicologist (Consultant) - Inductive Bio
- Location: New York City, San Francisco, or Boston, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- Apply: https://jobs.ashbyhq.com/inductive-bio/92873349-f0ad-4080-98be-70d55955d10d
- Excerpt: Toxicologist (Consultant) New York City, San Francisco, or Boston, United States Inductive Bio is an AI drug discovery 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 a senior Toxicologist with 10-15+ years of industry experience to join our cross functional team and help launch and scale our toxicology product offerings. This is a consulting position with a minimum of 5-10 hours/week initially with the potential to scale up. You'll work directly with partner teams to guide safety strategy for drug programs, shape the design and scientific underpinnings of our AI-powered ADME-Tox software to help you do toxicology work more efficiently, and ultimately help accelerate drug discovery across numerous drug development programs. What you'll do: - Launch and run our AI-enabled

### Senior Staff Machine Learning Engineer – Ads Prediction, Signals & Quality - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $212K-$386K
- Posted: 2026-01-05
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200620203/senior-staff-machine-learning-engineer-ads-prediction-signals-quality?team=SFTWR
- Excerpt: Senior Staff Machine Learning Engineer – Ads Prediction, Signals & Quality Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We are seeking an experienced Machine Learning Engineer to drive innovation in ad prediction, quality, and privacy-preserving signals. This role spans three critical areas: building large-scale prediction models, designing signals that respect user privacy, and ensuring ad quality that aligns with Apple's values of trust and transparency. You will set technical direction, lead complex initiatives, and mentor engineers while collaborating closely with research, infrastructure, and product teams. This role offers the opportunity to shape the future of privacy-first advertising at Apple. You'll work with some of the best engineers and researchers in the field, solve problems at massive scale, and deliver models that respect users while driving meaningful outcomes for advertisers. 10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains. Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks

### Lithuanian Language Specialist - Freelance AI Trainer Project - Agency
- Location: Lithuania (unspecified)
- Salary: $65-$65/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4603949101
- Excerpt: Lithuanian Language Specialist - Freelance AI Trainer Project Lithuania Are you a Lithuanian language expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication for Lithuanian speakers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Lithuanian language specialists who live and breathe Lithuanian grammar, syntax, morphology, phonetics, semantics, and pragmatics. You'll challenge advanced language models on topics like verb conjugation, noun declension, sentence structure, word order, diminutive forms, and regional dialects-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in Lithuanian language, linguistics, or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands‑on linguistic analysis projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your Lithuanian language expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a

### Senior Software Engineer — Ingestion for Spark - Snowflake Inc.
- Location: US-WA-Bellevue, Bellevue, Washington, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/snowflake/f7b61017-c557-46f0-9583-4dd3168e57b9
- Excerpt: Senior Software Engineer — Ingestion for Spark US-WA-Bellevue, Bellevue, Washington, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of the AI Data Cloud Snowflake's File Ingestion team owns the engines behind COPY INTO and Snowpipe - the paths that land customer data into the AI Data Cloud at hundreds of petabytes per quarter, growing year over year. We build the batch and continuous file-ingest paths that customers depend on to move data into the platform at scale. We run at high ingest throughput with customer data landing in minutes end-to-end. We're hiring a Senior Software Engineer to own deep, high-impact work across our file-ingest engines. You will operate at the intersection of systems performance, query execution, and customer-driven feature delivery - shaping the architecture of how data enters the platform. What you'll do - Design and

### Bioinformatics Scientist - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- 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/India---Hyderabad/Bioinformatics-Scientist_R-245703
- Excerpt: Bioinformatics Scientist India - Hyderabad posted: Posted 7 Days Ago

### Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200644466/staff-machine-learning-engineer-ads-signals-intelligence-information-retrieval?team=MLAI
- Excerpt: Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! Apple's Ads Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple's advertising ecosystem-including the App Store and Apple News. This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates, enabling smarter, privacy-aware decision-making throughout the ad delivery stack. This role focuses on developing rich semantic signals from a variety of sources-including queries, creatives, metadata, and user interactions-to support scalable ad retrieval, creative ranking, and marketplace optimization. You'll work at the forefront of LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data. While ad tech knowledge is a strong bonus, the core of the role is building high-quality, privacy-centric signals that fuel some of

### AIML - Sr. Software Development Engineer, Evaluation - Apple
- Location: San Francisco Bay Area, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-05-19
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200631643/aiml-sr-software-development-engineer-evaluation?team=SFTWR
- Excerpt: AIML - Sr. Software Development Engineer, Evaluation San Francisco Bay Area, United States of America At Apple, we create world-class innovative products that seamlessly combine cutting-edge hardware with intelligent software experiences, powered by advanced machine learning technologies. The Evaluation org is responsible for building platforms and tools to measure, understand, and proactively enhance Apple Intelligence features while protecting user data. We're seeking an experienced Senior Backend Software Engineer to join our team responsible for designing and developing our Annotation Platform, critical to the development and optimization of Apple's AI/ML features. As a Senior Backend Engineer in the Evaluation organization, you will lead the backend development of the platform meant to optimize data generation and collection process, allowing ML engineers to efficiently evaluate and train machine learning models. You should love to take on challenges, tackle problems with imaginative solutions, work well in collaborative teams, and produce high-quality software under tight deadlines and constraints. We expect you to enjoy mentoring and guiding other engineers, helping to elevate the skill set of the team and fostering a collaborative learning environment. You will be working with teams across different domains to drive projects and feature development from concept to completion. Minimum Qualifications: At least 7 years of hands-on experience with Java, demonstrating in-depth knowledge of advanced concepts and best practices in software design and development. Strong understanding and hands-on experience with the Spring Boot framework, including dependency injection, REST API development, and micro-services architecture. Proven track record in designing, building and maintaining complex,

### Senior / Principle Security Research - Agent ML Team (Cortex) - CyberArk
- Location: Office - Israel - Tel Aviv (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 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://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Senior---Principle-Security-Research---Agent-ML-Team--Cortex-_JR-017959
- Excerpt: Senior / Principle Security Research - Agent ML Team (Cortex) Office - Israel - Tel Aviv posted: Posted Yesterday

### Software Engineer Intern - Zurich (2026) - Snowflake Inc.
- Location: CH-Zurich-Observe, Zurich, Switzerland (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/snowflake/26a0ae52-97a6-4a46-9216-3c382570d89b
- Excerpt: Software Engineer Intern - Zurich (2026) CH-Zurich-Observe, Zurich, Switzerland At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lake using open formats like Apache Iceberg, delivering deep correlation and long-term analytics at dramatically lower cost. A dynamic Knowledge Graph and chat-based AI SRE provide rich context and guided workflows so teams can move from detection to root cause and resolution significantly faster. The Infrastructure team at Observe by Snowflake is responsible for building, scaling, and operating the development and production environments that power our observability platform. We are a small, highly collaborative team with a broad scope, focused on delivering reliable infrastructure while continuously improving the systems that support our

### Software Engineer, UI - Watershed
- Location: Boston (unspecified)
- Salary: Not disclosed
- Posted: 2023-02-07
- Apply: https://boards.greenhouse.io/watershed/jobs/5498525003?gh_jid=5498525003
- Excerpt: Software Engineer, UI Boston About Watershed Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform. We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that's intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives - all while bringing transformational change to a $40 billion industry Role Watershed Informatics is hiring an experienced UI Software Engineer to design and build powerful interface features for our genomic analysis and system management software. We're looking for engineers eager to weigh tradeoffs, solve real problems, and expand the capabilities of an enterprise software offering. You'll work side-by-side with fellow engineers, bioinformaticians, and our VP to invent new ways for biologists to convert data into better plots. Focusing on developing new features with ReactJS and NextJS, you'll consult with biologists and our bioinformaticians to understand the stages of genomic analysis, and create an interface that is exceptionally flexible and useful for scientists. We are currently focused on mid-senior level, experienced engineers. To us, this means 2-7 years of experience designing and writing software that solves tough problems in

### AE (London) - Artisan
- Location: London | Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://jobs.ashbyhq.com/artisan/71340017-1ddb-4445-b508-450f025afe57
- Excerpt: AE (London) London | Remote About Us At Artisan, we're building real AI employees - not copilots, not assistants, but autonomous teammates. Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers' tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would. Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them. We went through Y Combinator (W24) and have raised $35M+ from top investors. We're at $7M+ ARR, with hundreds of customers including Remote, Quora, and SumUp. We're currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring. Role Description This is a full-time remote role to be the third Account Executive at Artisan! You will be responsible for handling the end-to-end sales process: - 20+ product demos of Ava and our Artisan Sales platform per week - Effectively follow up with leads across email, LinkedIn, phone and text to ensure none go cold - Support leads closely during POCs/trial access to the platform - Ensure the sales cycle is as short as possible - Hand off new users to our customer success team - Close, close, close! About You - Strong experience in B2B SaaS sales, and a proven track record of smashing quota - Desire to work hard - including nights and weekends as required

### Senior Process Engineer - Ultima Genomics
- Location: Fremont, California, United States (unspecified)
- Salary: $110K-$130K
- Posted: 2026-04-16
- Mental health support: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/ultimagenomics/jobs/5972912004
- Excerpt: Senior Process Engineer Fremont, California, United States Rapidly Growing Life Sciences Technology Company Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. We are looking for a highly motivated Senior Process Engineer to join our team! As a Senior Process Engineer, you will focus on optimizing and scaling manufacturing processes for DNA sequencing reagents and consumables to improve yield, efficiency, and reliability while supporting new product introduction and lifecycle activities. It involves cross-functional collaboration to troubleshoot issues, drive continuous improvement, and ensure adherence to regulatory and quality standards. This is a full time onsite position at our Fremont, CA location. How You'll Contribute - Identify and implement process improvements to increase yield, throughput,

### Women's Health Proteomics Data Science Intern - Nestle
- Location: Country Switzerland (onsite)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- Apply: https://jobdetails.nestle.com/job/Lausanne-Women's-Health-Proteomics-Data-Science-Intern/1400446133/
- Excerpt: Women's Health Proteomics Data Science Intern Country Switzerland Location: Lausanne, Switzerland Work model: On site Contract type / duration: Internship - 6 months Start Date : September 2026 Deadline for applications: June 18 Be a force for good and transform your potential into something extraordinary. As a Proteomics Data Science Intern at Nestlé Research, Nestlé Institute of Health Sciences, your mission is to help uncover nutrition-related biomarkers by analysing large-scale proteomics and health data linked to women's health across key life stages. You will make a difference by collaborating closely with scientists, data specialists and cross-functional project teams to connect clinical, nutritional and phenotypic insights with molecular data. This is your opportunity to contribute to meaningful research while gaining hands on experience and mentorship to kick-start your career. How you'll make an impact as a Women's Health Proteomics Data Science Intern Applying and refining statistical methods to analyse proteomics and health data from large cohorts, including biobank-scale datasets. Identifying meaningful biomarkers that can deepen understanding of women's health, ageing and nutrition-related outcomes. Reviewing scientific literature and translating insights into clear recommendations for internal research discussions. Partnering with cross-functional research teams to combine proteomics, clinical, nutritional and phenotypic data and improve the relevance of your analyses. Delivering a final report or manuscript that shares your

### Senior Backend Engineer, Data Ingestion - Scribe
- Location: Remote, San Francisco, California, United States (remote)
- Salary: Not disclosed
- Posted: 2026-04-20
- Apply: https://jobs.ashbyhq.com/scribe/70043fce-177c-4986-9c47-4f5f9dbc50c0
- Excerpt: Senior Backend Engineer, Data Ingestion Remote, San Francisco, California, United States TL;DR - Why This Role Matters Scribe is building the infrastructure that powers how modern teams capture, process, and scale knowledge. As a Sr. Software Engineer, Backend, you will play a critical role in shaping the systems behind our data ingestion, workflow processing, and AI inference capabilities. Your work will directly influence the reliability, performance, and scalability of the platform as we continue to grow quickly and serve millions of users around the world. 📌 About the Role As a Sr. Software Engineer, Backend at Scribe, you will design and build the backend systems that power core product experiences and next-generation AI capabilities. This role is ideal for an engineer who enjoys working close to application code while also thinking deeply about distributed systems, scalability, and performance. You will help architect and evolve large-scale data ingestion and processing pipelines, build services that support AI inference with our in-house models, and improve the performance of business-critical systems across the platform. You'll work across Python, Typescript, and Go, and partner closely with teammates to deploy and operate reliable systems in AWS. This is a high-impact opportunity to help define how Scribe scales backend infrastructure for the next stage of growth. 🌎 Location While we're a globally distributed team, this role requires you to live permanently in a U.S. time zone. 🧩 What Makes You a Great Fit - You bring 8+ years of experience building backend applications with Python, Typescript, or

### Machine Learning and Artificial Intelligence Masters Internships - Apple
- Location: United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200664221/machine-learning-and-artificial-intelligence-masters-internships?team=STDNT
- Excerpt: Machine Learning and Artificial Intelligence Masters Internships United States Within Apple's Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple's fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness. As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences. In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate,

### Machine Learning Validation Automation Engineer - Apple
- Location: San Francisco Bay Area, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2025-12-09
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200635358/machine-learning-validation-automation-engineer?team=HRDWR
- Excerpt: Machine Learning Validation Automation Engineer San Francisco Bay Area, United States of America We are the Product Systems Quality team and we are looking for a highly motivated and experienced automation engineer with a passion for delivering robust, inclusive, and state-of-the-art Computer Vision and Machine Learning algorithms in Apple's next generation of products. You'll enjoy working on a team of quality engineers with a diverse group of backgrounds as we refine the model pipelines that power Apple's trademark simple and intuitive user experience. Come be a part of our team and use both creativity and technical expertise to bring experiences to life that our customers love! We are seeking an experienced Automation Engineer to lead the design and implementation of data collection and evaluation pipelines for Apple's ML systems. In this role, you will design, develop and maintain automation frameworks and validation pipelines for machine learning models. Your work will require close partnership with algorithm development teams to build tools for analyzing and visualizing data, evaluate and represent the true customer experience, design and implement experiments for engineering studies. You will develop and execute validation strategies to ensure the models meet accuracy & reliability requirements as well as create visualization for comparing model validation results across configurations to enable root cause analysis for failures. You'll have opportunity to take ownership of issues, drive them to resolution and continuously improve tests and processes with a drive towards innovation and automation. You'll be working through every step of the product development cycle

### Senior/Principal AI/ML Computational Scientist - Genentech, Inc.
- Location: South San Francisco, California, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-11
- 401(k) match: listed (not source-backed)
- Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Senior-Principal-AI-ML-Computational-Scientist_202605-111974-1/apply
- Excerpt: Senior/Principal AI/ML Computational Scientist South San Francisco, California, United States of America Exciting opportunity for a Senior AI/ML Computational Scientist to join our Digital Pathology group. Apply advanced image analysis, machine learning, and deep learning to biomedical imaging. Collaborate with experts, develop innovative computational solutions, and drive translational research in drug discovery and development. Shape the future of digital pathology with cutting-edge science.

### Principal Scientist, Functional Genomics - Xaira
- Location: South San Francisco, California, United States (unspecified)
- Salary: $175K-$205K
- Posted: 2026-05-29
- Apply: https://job-boards.greenhouse.io/xairatherapeutics/jobs/5150846007
- Excerpt: Principal Scientist, Functional Genomics South San Francisco, California, United States About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role Xaira is seeking a highly motivated and experienced Principal Scientist to join our Functional Genomics team with a focus on high-throughput perturbation platforms and single-cell genomics technologies. The ideal candidate will bring deep expertise in CRISPR-based screening approaches, perturb-seq, and large-scale functional genomics workflows, with experience generating high-quality datasets to support both therapeutic discovery and AI/ML modeling initiatives. This position offers the opportunity to contribute to cutting-edge efforts at the intersection of functional genomics, machine learning, and disease biology. You will work closely with AI/ML scientists, computational biologists, automation engineers, and disease biology teams to develop scalable perturbation workflows, implement new technologies, and drive high-quality data generation and experimental innovation across multiple therapeutic areas. Key Responsibilities - Lead high-throughput perturbation and functional genomics efforts supporting therapeutic discovery and AI/ML-driven research initiatives - Develop and implement advanced functional genomics technologies, including perturb-seq, CRISPRi/a, and

### Member of Technical Staff - Post Training, Applied - Liquid AI
- Location: San Francisco, United States, Boston, Remote (remote)
- Salary: Not disclosed
- Posted: 2026-01-23
- 401(k) match: 4% (not source-backed)
- Apply: https://jobs.ashbyhq.com/liquid-ai/f898850b-a1ca-4c9e-9e15-a9aa1ce306b6
- Excerpt: Member of Technical Staff - Post Training, Applied San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity This is a rare chance to own applied post-training work end-to-end for text workloads, adapting Liquid Foundation Models for some of the world's largest enterprise customers. You will act as the technical bridge between customer requirements and model delivery. You will lead engagements from scoping through evaluation, with full ownership over how text models are adapted and shipped. Between engagements, you will build reusable applied workflows and tooling that accelerate future delivery. If you care about data quality, evaluation design, and making language models actually work in production for real customers, this is the role. What We're Looking For We need someone who: - Takes ownership: Owns customer post-training projects end-to-end, from requirements through delivery and evaluation. - Thinks end-to-end: Can reason across data generation, instruction tuning, alignment, and evaluation as a single system. - Is pragmatic: Optimizes for model quality and customer outcomes over publications or theory. - Communicates clearly: Can translate between customer needs and internal technical teams, and push back when needed. The Work - Act as the technical owner

### Spanish (Chile) Language Specialist - Freelance AI Trainer Project - Agency
- Location: Chile (unspecified)
- Salary: $8-$8/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4655768101
- Excerpt: Spanish (Chile) Language Specialist - Freelance AI Trainer Project Chile Are you a Spanish (Chile) language specialist eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful tools for communication, education, and cultural preservation. With high-quality training data, tomorrow's AI can better understand the distinctive phonetics, grammar, vocabulary, and cultural nuances of Chilean Spanish-bridging gaps in global accessibility and fostering authentic cross-cultural exchange. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Spanish (Chile) language specialists who live and breathe grammar, orthography, chilenismos, intonation patterns, idiomatic expressions, and cultural references unique to Chile. You'll challenge advanced language models on topics like regional colloquialisms, contextual interpretation, tone adaptation, syntactic accuracy, and semantic precision-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model in Spanish (Chile) across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A degree in Linguistics, Translation, Spanish Language, Literature, or a related field is ideal; professional experience in teaching, translation, localization, or editorial work signals fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your Spanish (Chile) expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to-$65 per hour, with the exact rate determined after

### Software Engineer I - AI/ML, AWS Neuron Distributed Training - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $127K-$185K
- Posted: 2026-06-02
- 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/10438055/software-engineer-i-ai-ml-aws-neuron-distributed-training
- Excerpt: Software Engineer I - AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to tackle unprecedented technical challenges and deliver solutions that help customers change the world. AWS Neuron is the complete software stack powering AWS Trainium (Trn2/Trn3), our cloud scale Machine Learning accelerators and we are seeking a Senior Software Engineer to join our ML Distributed Training team. In this role, you will be responsible for the development, enablement, and performance optimization of large scale ML model training across diverse model families. This includes massive scale pre-training and post-training of LLMs with Dense and Mixture-of-Experts architectures, Multimodal models that are transformer and diffusion based, and Reinforcement Learning workloads. You will work at the intersection of ML research and high performance systems, collaborating closely with chip architects, compiler engineers, runtime engineers and AWS solution architects to deliver cost-effective, performant machine learning solutions on AWS Trainium based systems. Key job responsibilities You will contribute to the design and implementation of distributed training solutions for large-scale ML models running on Trainium instances. A significant part of your work will involve extending and optimizing popular distributed training frameworks including FSDP, torchtitan, and Hugging Face libraries for the Neuron ecosystem. A core focus of this role involves developing and optimizing mixed-precision and low-precision training techniques. You will work with BF16, FP8, and emerging numerical formats to improve training throughput while maintaining model accuracy and convergence quality. This

### Staff, Data Center Augmentation Engineer - CoreWeave
- Location: Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA/Richmond, VA (unspecified)
- Salary: $177K-$237K
- Posted: 2026-04-01
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://coreweave.com/careers/job?4669527006&board=coreweave&gh_jid=4669527006
- Excerpt: Staff, Data Center Augmentation Engineer Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA/Richmond, VA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Our Data Center Facilities team is at the forefront of the shift to the Intelligence Age, re-engineering the physical layer to support the unprecedented power and thermal demands of next-generation AI hardware, such as NVIDIA's H100 and Blackwell architectures. We are a high-impact, cross-functional group of technical experts dedicated to solving complex infrastructure challenges, from transitioning suites to 80kW+ per-rack densities to implementing advanced liquid-cooling methodologies. In this role, you will collaborate with MEP consultants and operational stakeholders to manage multi-million-dollar retrofits, ensuring our physical infrastructure remains a catalyst-not a bottleneck-for global AI ambitions. We thrive on technical precision and mission-critical reliability, building the foundation for the next era of computing. About the role: - As our Staff, Data Center Augmentation Engineer, you will be the bridge between our current infrastructure and the future of AI. You will lead the engineering efforts to upgrade, expand, and optimize our data

### Bioinformatics Scientist - Axle
- Location: Baltimore, MD (unspecified)
- Salary: $80K-$90K
- Posted: 2026-04-21
- 401(k) match: 5% (not source-backed)
- Apply: https://job-boards.greenhouse.io/axle/jobs/5114801007
- Excerpt: Bioinformatics Scientist Baltimore, MD (ID: 2026-1842) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Axle is seeking a Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute on Aging (NIA) located in Baltimore, MD. Benefits We Offer: - 100% Medical, Dental & Vision Coverage for Employees - Paid Time Off and Paid Holidays - 401K match up to 5% - Educational Benefits for Career Growth - Employee Referral Bonus - Flexible Spending Accounts: - Healthcare (FSA) - Parking Reimbursement Account (PRK) - Dependent Care Assistant Program (DCAP) - Transportation Reimbursement Account (TRN) Position Information: Provide support services to satisfy the overall operational objectives of the National Institute on Aging. The primary objective is to provide services and deliverables through performance of support services. Additional Qualifications: Certifications & Licenses - Master's degree in science related field Field of Study - Biology Software - MS office suite Skills - Strong communications skills, both oral and written Deliverables: - Clean Equipment - Ad-Hoc - Run Validation - Ad-Hoc - Inspect Equipment -

### Member of Technical Staff - Post Training, Applied (Audio) - Liquid AI
- Location: San Francisco, United States, Boston, Remote (remote)
- Salary: Not disclosed
- Posted: 2026-03-30
- 401(k) match: 4% (not source-backed)
- Apply: https://jobs.ashbyhq.com/liquid-ai/df917175-f8fd-4c76-97c0-ffb90db57464
- Excerpt: Member of Technical Staff - Post Training, Applied (Audio) San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity LFM2.5-Audio is Liquid's end-to-end multimodal speech and text language model. At 1.5B parameters, it handles speech-to-speech conversation, ASR, and TTS without requiring separate components, making it uniquely suited for real-time, on-device deployment. We're now bringing this model to enterprise customers. The core challenge: teaching audio models to understand user intents and translate them into structured tool calls. Think voice-driven function calling, where a spoken request triggers the right API, extracts the right parameters, and confirms back to the user in natural speech. This role sits at the intersection of frontier audio models and real-world deployment. You'll own the applied post-training work that adapts LFM2.5-Audio for customer use cases end-to-end, from data generation through delivery. Unlike most roles that force a trade-off between customer impact and foundational work, this one gives you both: deep ownership over how audio models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid's post-training and audio stacks. If you care about data quality, evaluation, and making models actually work in production, this is

### Sr. Bioinformatics Scientist – Novel Cell Free DNA Applications - Personalis INC
- Location: Fremont, CA (unspecified)
- Salary: $155K-$190K
- Posted: 2026-02-04
- 401(k) match: listed (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/personalisinc/jobs/7617458003
- Excerpt: Sr. Bioinformatics Scientist – Novel Cell Free DNA Applications Fremont, CA Personalis, Inc. is a leader in advanced genomics for precision oncology. NeXT Personal is an ultra-sensitive, tumor-informed, WGS-based liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence. It leverages whole-genome sequencing of a patient's tumor and matched normal samples to create personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at very low levels (down to ~1-3 PPM) in blood samples. To enable cancer and population sequencing, Personalis' Clinical Laboratory was built with a focus on clinical accuracy, quality, big data, scale, and efficiency. Days Onsite: Monday & Tuesday Summary: The Senior Bioinformatics Scientist will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge cell-free and solid tumor cancer genomics products. Further, the Senior Bioinformatics Scientist will work closely with our clinical evidence generation teams, applying our cell-free technology solutions to large cancer patient cohorts and profiling patient response to therapy with our cfDNA platforms. This position will directly contribute to a new generation of genomics-based precision-medicine products for profiling MRD, ctDNA dynamics, and patient response to treatment. Our products are used by pharma, biotech, hospitals, and clinicians for managing patient treatment and therapeutic selection. Responsibilities: Design and develop novel cell-free technologies and products Collaborate closely with laboratory scientists to design experiments to develop and evaluate novel applications for cell-free DNA assays Draw on deep experience with genomics

### Member of Technical Staff, Pre-Training Data - Cohere Health
- Location: Toronto | Remote | San Francisco | New York | London | Paris | Montreal (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/cohere/859e2e47-02fb-4afe-bb8a-e83bf4d8c265
- Excerpt: Member of Technical Staff, Pre-Training Data Toronto | Remote | San Francisco | New York | London | Paris | Montreal Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere's advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator

### Associate Data Engineer – R&D Omics - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 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/India---Hyderabad/Associate-Data-Engineer---R-D-Omics_R-218535
- Excerpt: Associate Data Engineer – R&D Omics India - Hyderabad posted: Posted 30+ Days Ago

### Senior/Staff Software Engineer - Machine Learning Platform (Inference) - Snowflake Inc.
- Location: US-CA-Menlo Park, Menlo Park, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2025-08-21
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/snowflake/34584833-b410-4c03-bf0c-0208bcf962c6
- Excerpt: Senior/Staff Software Engineer - Machine Learning Platform (Inference) US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of data. Join the Snowflake team. The Snowflake Machine Learning Platform team's mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our customers want to build powerful models with the ever-increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance, and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure, and enable end-to-end ML workflows. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance. We are looking for outstanding technical leaders who will join our ML Platform team to

### Viral Transmission 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/4645505101
- Excerpt: Viral Transmission Specialist - Freelance AI Trainer Project United States of America Are you a master of viral transmission 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, advance infectious disease control, and support global public health efforts. 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 viral transmission dynamics, epidemiology, host-pathogen interactions, environmental factors, vector biology, infection control, and outbreak investigation. You'll challenge advanced language models on topics like modes of viral spread, reproductive numbers (R₀), superspreading events, viral shedding, aerosol and contact transmission, prevention strategies, and modeling transmission patterns-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world viral transmission scenarios and theoretical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in virology, epidemiology, microbiology, public health, or a closely related life‑science field is ideal; peer‑reviewed publications, applied research on viral transmission, or experience in outbreak response and infection prevention signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your viral transmission 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

### Senior Applied Scientist, Neuro-Symbolic AI Labs - Amazon
- Location: Boston, Massachusetts, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2026-05-05
- 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/10411143/senior-applied-scientist-neuro-symbolic-ai-labs
- Excerpt: Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and

### Spanish (Chile) Language Expert - Freelance AI Trainer Project - Agency
- Location: Chile (unspecified)
- Salary: $8-$8/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4655007101
- Excerpt: Spanish (Chile) Language Expert - Freelance AI Trainer Project Chile Are you a Spanish (Chile) language expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful tools for communication, education, and cultural preservation. With high-quality training data, tomorrow's AI can better understand the distinctive phonetics, grammar, vocabulary, and cultural nuances of Chilean Spanish-bridging gaps in global accessibility and fostering authentic cross-cultural exchange. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Spanish (Chile) language specialists who live and breathe grammar, orthography, chilenismos, intonation patterns, idiomatic expressions, and cultural references unique to Chile. You'll challenge advanced language models on topics like regional colloquialisms, contextual interpretation, tone adaptation, syntactic accuracy, and semantic precision-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model in Spanish (Chile) across a wide range of topics, verify linguistic accuracy and cultural relevance, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A Master's degree in Linguistics, Translation, Spanish Language, Literature, or a related field is ideal; professional experience in teaching, translation, localization, or editorial work signals fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your Spanish (Chile) 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

### Member of the Technical Staff, Molecular Generation - Output Biosciences
- Location: New York HQ 🗽 (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/output/e47dadff-8a9c-4749-8234-2db3f4b7fd57
- Excerpt: Member of the Technical Staff, Molecular Generation New York HQ 🗽 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 lead the design and development of Output's generative models, working across molecular modalities to build systems that produce novel, biologically grounded molecules. This role spans the full arc from research to trained model: you design architectures, develop training approaches, run experiments on distributed GPU clusters, and evaluate results. - You will design and build generative architectures for molecular data spanning multiple modalities, including small molecules, peptides, mini proteins and more - You will develop training approaches that learn from diverse biological signal, ensuring the model composes genuinely novel structures - You will build methods for controllable, targeted generation, enabling the model to produce molecules with specified biological properties while satisfying real-world chemical constraints - You will integrate biological reasoning from our foundation model into the generative pipeline, using learned biological representations to guide and condition generation - You will own training end-to-end:

### Technical Account Manager - Benchling
- Location: Zurich, Switzerland | Hybrid | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-07
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/benchling/78ae90cf-22ff-4dd9-b597-a132ade29abf
- Excerpt: Technical Account Manager Zurich, Switzerland | 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 Benchling is building a world-class Customer Experience organization to drive the adoption of our platform across our rapidly growing customer base. The Technical Account

### AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology - Apple
- Location: Santa Clara, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2025-02-14
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200590937/aiml-senior-machine-learning-infrastructure-engineer-ml-compute-ml-platform-technology?team=MLAI
- Excerpt: AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology Santa Clara, United States of America 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 Engineer on ML Compute Team, you'll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on ML workloads such as training, inferencing, fine tuning etc.; Driving the design and delivery of critical features to facilitate ML compute workloads; Effectively communicating complex features and systems in detail; Understanding industry & company- wide trends to help assess & develop new technologies. Your work will impact hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features. We are the team who build and maintain compute infrastructure to run ML workloads at Apple

### Frontend Engineer - Capsule
- Location: Los Angeles, California, United States (unspecified)
- Salary: $100K-$170K
- Posted: 2025-07-09
- Apply: https://jobs.ashbyhq.com/capsule/911f5125-8bc1-4978-9924-ba1f040b4a1e
- Excerpt: Frontend Engineer Los Angeles, California, United States Capsule is building the world's most intuitive AI-powered video editing tool, designed for modern teams. We're a Series A startup led by two serial founders who have built and scaled creative platforms used by hundreds of millions of people. We're backed by top-tier investors behind Webflow, Figma, Slack, and Replit. We've grown quickly. In less than a year, 100+ enterprise teams-including HubSpot, ServiceNow, and Instacart-use Capsule to create high-quality, on-brand video content at scale. We're hiring a Senior Frontend Engineer to help us build the next generation of web-based video editing. You'll be a key contributor to our engineering culture and product direction, working closely with design and product in a zero-ego, high-ownership environment. What You'll Do - Build beautiful, performant, responsive web UIs using React and Next.js - Translate designs into high-quality code-adding the nuance that turns "good" into "great" - Collaborate with design and product to shape new features from concept to launch Implement and maintain our design system and component library - Own integrations with internal and 3rd-party APIs - Identify and eliminate technical debt, simplify architecture, and improve performance - Champion quality through testing, code reviews, documentation, and best practices - Explore new technologies through rapid prototyping and R&D - Contribute to a high-velocity, collaborative engineering culture - Stay up-to-date with AI coding tools to gain leverage and velocity What We're Looking For - 4+ years of professional frontend experience (React, Next.js, or similar frameworks) - A strong sense

### Senior Machine Learning Platform Engineer - Pubmatic INC
- Location: Pune, IN (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://pubmatic.com/job/?gh_jid=5157318008
- Excerpt: Senior Machine Learning Platform Engineer Pune, IN About the Role At PubMatic, data operates at unmatched scale. As a Senior Machine Learning Platform Engineer , you will design and scale the infrastructure and frameworks that enable machine learning development, experimentation, and production across a global ecosystem handling trillions of ad impressions. You will collaborate closely with ML Engineers, Data Scientists, and Product stakeholders to accelerate experimentation, maximize efficiency, and translate AI solutions from concept to production. This role offers direct exposure to petabyte-scale datasets , industry-standard ML efficiency tools (e.g., Triton inference, GPU/accelerated computing), and the opportunity to evaluate and adopt emerging AI/ML technologies. You will contribute to the next-generation ML platform for adtech , enabling advanced use cases such as troubleshooting issues in bid stream, competitive intelligence, benchmarking, forecasting, reinforcement learning, and retrieval-augmented generation (RAG) , while also establishing foundational capabilities like embeddings and observability frameworks . What You'll Do Platform Development: Design and maintain scalable ML pipelines and platforms for ingestion, feature engineering, training, evaluation, inference, and deployment. Big Data & Analytics: Build and optimize large-scale data workflows using distributed systems (Spark, Hadoop, Kafka, Snowflake) to support analytics and model training. Experimentation & Observability: Develop frameworks for experiment tracking, automated reporting, and observability to monitor model health, drift, and anomalies. Work with industry-standard ML efficiency tools to optimize training workloads, accelerate experiments, and monitor performance at scale . AI/ML Enablement: Provide reusable components, SDKs, and APIs that empower teams to leverage AI insights and ML models effectively. Automation:

### Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $159K-$215K
- Posted: 2026-04-13
- 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/10389921/sr-mla-dv-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
- Excerpt: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have

### Senior Front-End (React) Engineer - Nabla Bio
- Location: Paris office (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/nabla/833aaffc-2100-4648-9e45-2cb4e0318faa
- Excerpt: Senior Front-End (React) Engineer Paris office ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! THE BEST OF AI AT THE SERVICE OF HEALTHCARE Nabla's phenomenal traction is the result of 3 years of diligent product development. Led by former Meta AI Research engineers, our team has consistently anticipated how AI can revolutionize healthcare delivery. Our Machine Learning team continually leverages the latest advancements to unlock AI's full potential in healthcare. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. ENGINEERING AT NABLA Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams span machine learning, native desktop applications, and platform infrastructure

### Norwegian Language Specialist - Freelance AI Trainer Project - Agency
- Location: Norway (unspecified)
- Salary: $8-$65/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4636539101
- Excerpt: Norwegian Language Specialist - Freelance AI Trainer Project Norway Are you a Norwegian language expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high-quality training data, tomorrow's AI can democratize world-class education, keep pace with cutting-edge research, and streamline communication for Norwegian speakers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Norwegian language specialists who live and breathe Norwegian grammar, syntax, morphology, spelling, phonology, and pragmatics. You'll challenge advanced language models on topics like verb conjugation, noun inflection, sentence structure, Bokmål and Nynorsk distinctions, regional dialects, formal and informal registers, and the nuances of the Norwegian writing system-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on language scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in Norwegian language, linguistics, or a closely related field is ideal; peer-reviewed publications, teaching experience, or hands-on linguistic analysis projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your Norwegian language expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final

### ESI RPA Core Team 168198 - Automatic Data Processing
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.adp.com/en/jobs/ind168198/esi-rpa-core-team-168198/
- Excerpt: ESI RPA Core Team 168198 ESI RPA Core Team 168198

### Senior Software Engineer (Java) - SonarSource
- Location: Geneva (unspecified)
- Salary: Not disclosed
- Posted: 2025-07-15
- Apply: https://jobs.lever.co/sonarsource/98b4fdbf-8b33-45f3-82b1-90651ca5de5c
- Excerpt: Senior Software Engineer (Java) Geneva Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company.count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at

### Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon
- Location: Toronto, Ontario, CAN (unspecified)
- Salary: CAD 214K-358K
- Posted: 2026-02-05
- 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/3175108/sr-software-development-manager-compiler-aws-neuron-annapurna-labs
- Excerpt: Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning

### Founding SDET - Clueso
- Location: Bengaluru | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/clueso/7c429936-b319-4e85-b327-9d0530c94f4c
- Excerpt: Founding SDET Bengaluru | OnSite Clueso is building a new class of AI-native creation tools used by teams to turn raw screen recordings into polished product videos and step-by-step documentation. Over 100,000 videos have been created on Clueso. We're SOC 2 Type II and ISO 27001 certified, and we ship fast. We're hiring a Founding SDET, our first dedicated quality hire to make shipping fast and shipping confidently the same thing. This is automation-first and code-heavy. You'll write the safety net yourself: E2E test suites, API and integration coverage, CI gates, flake hunting. You'll also own the QA function strategically deciding what stays in-house, what we hand to an agency, and what we hire for next as the team grows. WHAT YOU'LL OWN The release safety net - Build out E2E coverage for the workflows that matter most: recording, editing, AI generation, translations, exports. - Stand up CI test gates that catch real regressions before they ship. - Hunt and kill flake. A flaky test is worse than no test. You set the bar. - Wire in API and integration suites alongside the UI ones; pick the right level for each check. Pre-release acceptance - Drive structured release passes across the realistic product surface recorder, editor, avatars, lipsync, exports across browsers and the device matrix our customers use. - Build the regression checklist that turns into automation over time. Manual where automation isn't worth it yet. The bug loop - Own the path from "user reported X" → minimal repro

### Senior Machine Learning Compiler Engineer - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $168K-$227K
- Posted: 2025-08-08
- 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/3055111/senior-machine-learning-compiler-engineer
- Excerpt: Senior Machine Learning Compiler Engineer Seattle, Washington, USA The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum

### Research Scientist, Benchmarks & Evaluations - Protege
- Location: Remote, United States (remote)
- Salary: Not disclosed
- Posted: 2026-05-21
- Apply: https://jobs.ashbyhq.com/protege/11f7d4de-81d5-44c1-9aa4-b21e2e2015fc
- Excerpt: Research Scientist, Benchmarks & Evaluations Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. DataLab is Protege's research arm - a team of research scientists committed to tackling the fundamental challenges and open questions regarding data for AI. We bridge the gap between research theory and data deployment to push the frontier forward, publishing on the questions that matter: what agentic AI should actually be trained to do, how to quality-control large-scale corpora, and how to build evaluation datasets that reflect the real world rather than the leaderboard. We're a lean, fast-moving, high-trust team of builders who deeply care about scientific rigor and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. The Role

### Analytics Engineer - Dialpad
- Location: Kitchener, Canada (unspecified)
- Salary: CAD 86K-108K
- Posted: 2026-05-21
- Apply: https://job-boards.greenhouse.io/dialpad/jobs/8558973002
- Excerpt: Analytics Engineer Kitchener, Canada About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an Analytics Engineer, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide

### Software Graduate Intern, Autonomous Lab - Ginkgo Bioworks
- Location: Emeryville, California (unspecified)
- Salary: $45K-$64K
- Posted: 2026-01-28
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/ginkgobioworks/jobs/5033171007
- Excerpt: Software Graduate Intern, Autonomous Lab Emeryville, California Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. About the Role: Ginkgo Bioworks is constructing the world's first "Total Autonomous Lab"-a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst , our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution. Responsibilities: - Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms. - Build the AI Scientist: Assist in the development of Catalyst Agent , our LLM-based interface that allows scientists to launch experiments using natural language. - Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training. - Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools. Preferred Qualifications: - Recent graduate (BS/MS)

### Scientist, Gene Editing Sciences - Maxcyte Inc
- Location: Waltham, MA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- 401(k) match: listed (not source-backed)
- Apply: https://recruiting.paylocity.com/Recruiting/Jobs/Details/4211663
- Excerpt: Scientist, Gene Editing Sciences Waltham, MA Scientist, Gene Editing Sciences

### Staff Machine Learning Engineer : Platform Intelligence - Apple Maps - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-03-05
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200649663/staff-machine-learning-engineer-platform-intelligence-apple-maps?team=MLAI
- Excerpt: Staff Machine Learning Engineer : Platform Intelligence - Apple Maps Cupertino, United States of America Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to designers, to architect the best overall system. If you are excited about delivering intelligent, responsive, and personalized experiences to millions of users, we invite you to apply for the job and join us! Apple Maps Client is looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. Partnering with the Apple Neural Engine team to profile model performance, identify bottlenecks, and push the limits of what's possible on-device. Crafting technical design documents for new ML features is a core part of this role- outlining model architecture choices, performance targets, and deployment strategies.Your work includes building integration code that connects ML models with platform frameworks and APIs. You will lead cross-functional team projects. Beyond individual contributions, you will shape how the team approaches on-device ML. You will establish evaluation frameworks, define quality benchmarks,

### ML Compiler Engineer, Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $165K-$224K
- Posted: 2026-05-21
- 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/10427132/ml-compiler-engineer-annapurna-labs
- Excerpt: ML Compiler Engineer, Annapurna Labs Cupertino, California, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. In this role as a ML Compiler engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization. As part of the Backend team, you'll play a significant role in designing and developing various aspects of our system. This includes but is not limited to instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never

### Machine Learning Engineer: Evaluation - Bedrock Robotics
- Location: San Francisco, CA, San Francisco, California, United States, New York, NY (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-31
- Apply: https://jobs.ashbyhq.com/bedrock-robotics/5c2c834d-61f1-4ec9-812b-8665a9f5024d
- Excerpt: Machine Learning Engineer: Evaluation San Francisco, CA, San Francisco, California, United States, New York, NY 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. Machine Learning Engineer: Evaluation Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We're looking for a highly motivated engineer with experience evaluating complex ML systems deployed in the real world. Your Mission: Translate the infinite nuance of the built world into actionable, AI-native evaluations that accelerate Bedrock Operator adoption. The ideal candidate has hands-on experience in building evaluation

### Scientist, Biomarker Analysis - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 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/India---Hyderabad/Scientist--Biomarker-Analysis_R-243255
- Excerpt: Scientist, Biomarker Analysis India - Hyderabad posted: Posted 30+ Days Ago

### Senior Software Engineer - Graph Analytics for Snowflake - Neo4j
- Location: London (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- Apply: https://boards.greenhouse.io/neo4j/jobs/4683815006?gh_jid=4683815006
- Excerpt: Senior Software Engineer - Graph Analytics for Snowflake London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world's largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role Join the team behind Neo4j Graph Analytics for Snowflake , our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data

### Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI - Scale AI
- Location: San Francisco, CA; New York, NY (unspecified)
- Salary: $265K-$331K
- Posted: 2025-10-31
- Apply: https://job-boards.greenhouse.io/scaleai/jobs/4625337005
- Excerpt: Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly

### Senior/Principal Backend Engineer -AI IDEX (Cortex Cloud) - CyberArk
- Location: Office - Israel - Tel Aviv (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 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://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---Israel---Tel-Aviv/Senior-Principal-Backend-Engineer--AI-IDEX--Cortex-Cloud-_JR-014735
- Excerpt: Senior/Principal Backend Engineer -AI IDEX (Cortex Cloud) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

### Chile - Automatic Data Processing
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.adp.com/en/jobs/?orderby=0&pagesize=20&page=1&mylocation=Chile&radius=100&rType=0
- Excerpt: Chile Chile

### SDET - SAS Institute Inc.
- Location: Pune, UNAVAILABLE, IN (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://global-sas.icims.com/jobs/41744/sdet/job
- Excerpt: SDET Pune, UNAVAILABLE, IN We are a global leader in data and AI. Through our software and services, we empower customers worldwide to transform data into intelligence-and questions into answers. If you're seeking a dynamic, rewarding career with flexibility and a world-class employee experience, you'll find it here. We're consistently recognized for our inclusive, purpose-driven culture and innovative technologies by organizations such as Fast Company, Forbes, Newsweek, and others. About the Role This role is based at the SAS R&D Center in Pune and is part of the SAS Foundation team. We are seeking a Sr. Associate Analytical Tester to participate in the design, development, and testing of software for our Natural Language Processing (NLP) solutions, in accordance with designated development and testing practices, timelines and quality expectations. You'll also develop and maintain automated test suites used by organizations around the world. If you're passionate about software quality and interested in advancing the state of analytics technology, this role might be for you! In this role, you will work with a collaborative, experienced team to build and maintain industry-leading NLP solutions. Key Responsibilities Gathers requirements from stakeholders (product management, development, testing, management etc.) to determine SAS software performance goals. Verifies whether performance of software is meeting goals by experimentation - including experiment design, scripting, prototyping, manual testing, d

### Backend Software Engineer - Native Apps - Snowflake Inc.
- Location: CA-Ontario-Toronto, Toronto, Ontario, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-04
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/snowflake/708992c7-67da-4f99-99f0-39ed70e360d4
- Excerpt: Backend Software Engineer - Native Apps CA-Ontario-Toronto, Toronto, Ontario, Canada At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is a global platform where thousands of organizations store and process their data. Our Data Marketplace allows our customers to exchange data across geographies, organizationions and cloud providers. We are now building an App Marketplace on top of the Data Marketplace. Think of it as an App Store or Play Store but with the apps running on the Snowflake Cloud, not phones. Snowflake is becoming an application platform. It's a new, big, and differentiating feature for Snowflake and our customers. The Native Apps team in Toronto is in the center of this innovation. We're working on the core building blocks for the apps to support the app lifecycle - creation, versioning, global rollouts, installation and execution in a secure sandbox. We enable

### AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information - Apple
- Location: Seattle, United States of America (unspecified)
- Salary: $172K-$302K
- Posted: 2025-08-27
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200612079/aiml-staff-machine-learning-engineer-answers-knowledge-information?team=MLAI
- Excerpt: AIML - Staff Machine Learning Engineer - Answers, Knowledge & Information Seattle, United States of America Do you want to make Siri and Apple products smarter for our users? The Answers, Knowledge & Information team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of apple intelligence, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. In our team, you will be leveraging and improving upon the latest LLM/ML techniques in order to understand queries, rank user intents, rank documents, and generate answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills. Minimum Qualifications: MS in Computer Science or related field 5+ years of industry related experience, working in collaborate environments Utilizing: PyTorch, TensorFlow, and JAX for training and deploying deep learning models Understanding product requirements and then translating them into modeling

### ML Engineer - Experimentation, Portal - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-05-05
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200619867/ml-engineer-experimentation-portal?team=SFTWR
- Excerpt: ML Engineer - Experimentation, Portal Cupertino, United States of America At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy. Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. The Ads ML Experimentation team is looking for a full-stack ML Engineer to help shape the future of how Apple's advertising systems experiment to connect millions of global users to content from publishers and developers. You'll build intuitive interfaces that transform complex statistical concepts and ML workflows into seamless user experiences, making advanced experimentation and AI accessible to teams across Apple Ads. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. In this role, you will design and build the next generation experimentation platform for the Apple Ads ecosystem. You'll be responsible for transforming complex ML workflows into intuitive web applications. You will introduce AI-powered insights through seamless user interfaces, develop workflows from model training

### Staff Backend Engineer, Core - Scribe
- Location: San Francisco, California, United States (unspecified)
- Salary: $235K-$280K
- Posted: 2026-01-21
- Apply: https://jobs.ashbyhq.com/scribe/8c4af5ba-d564-4a3b-ab33-d22ff3108d3e
- Excerpt: Staff Backend Engineer, Core San Francisco, California, United States About us Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to ensure work gets done right, and see how to do it even better. Our Workflow AI platform automatically captures and optimizes workflows so teams work smarter, faster, and more consistently. We're growing fast - since our founding in 2019, we've grown to over 5 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to uplevel how people do work. How we work We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We embrace the following values: - Accelerate impact - Raise the bar - Make our users heroes - Clear is kind - Rapid learning machine - One team one dream About this role We're looking for an experienced backend engineer to join our growing team as a Staff Engineer on our Core Engineering team. This team owns the most essential user experiences in Scribe - including viewing and editing Scribes, managing Pages, Embeds, Exports, and supporting key Integrations. Your work will directly impact how users create, share, and consume documentation, helping them be more effective in their work. You should be passionate about solving real user problems and approaching challenges

### Alpha Implementation Lead – (ETN) Blotter, Assistant Vice President - State Street Corporation
- Location: London, England (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- 401(k) match: listed (not source-backed)
- Apply: https://statestreet.wd1.myworkdayjobs.com/Global/job/London-England/Alpha-Implementation-Lead----ETN--Blotter--Assistant-Vice-President_R-791360-2
- Excerpt: Alpha Implementation Lead – (ETN) Blotter, Assistant Vice President London, England posted: Posted 14 Days Ago

### Execution Services – Agency Trading – ETD algo trading java developer - UBS Group AG
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ubs.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25008&siteid=5155&PageType=JobDetails&jobid=341579
- Excerpt: Execution Services – Agency Trading – ETD algo trading java developer Are you passionate about delivering robust and scalable algorithmic trading systems? Are you motivated to deliver real business value? We're looking for someone to: • Work as part of a front-office Product Development technology team responsible for development of the Algorithmic Trading and Smart Order Routing engines in EMEA. The team is responsible for delivery of software for the firm's Agency Trading electronic-trading business, with a focus on the EMEA Algo Product Development book-of-work. • Analyse complex algorithmic execution requirements and co-design business solutions with our Quants and Algorithmic Trading desks, delivering change in an Agile way. • Help deliver new product features and trading components to enhance order internalisation, interaction with external liquidity venues and execution at benchmark prices. • Bring an engineering mind-set to systems development; Contribute to the evolution of our global platform target-state architecture; implement functionality and features that can be reused across regions and asset-classes. Ensure that non-functional requirements around performance, stability, recovery and resiliency of the platform are being met. • Increase automated testing of distributed algo-engine components. • Collaborate with other global IT teams, Quants and Traders across regions and asset-classes • Perform level 3 support, assisting production operations team in rollout and support-related matters.

### Senior Backend Engineer - Scanner
- Location: San Francisco, CA (Hybrid) or US-Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-03-02
- Apply: https://job-boards.greenhouse.io/scanner/jobs/4146205009
- Excerpt: Senior Backend Engineer San Francisco, CA (Hybrid) or US-Remote To help avoid bots and fake submissions we require email authentication after you submit your application About Scanner At Scanner, we're committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether you're debugging a distributed system, or monitoring a sprawling backend deployment for security risks, so many problems that modern engineering teams face are ultimately about sifting through giant haystacks in search of small but valuable needles. Scanner provides a magical user experience with ⚡ fast queries, allowing teams to manage massive data sets with far more ease than they can with existing tools. What We Built We believe Data Lakes are the future of security data. Scanner is the world's fastest full-text search and detection platform for Security Data Lakes. Security teams can now search years and petabytes of logs in seconds (up to 700x faster than alternatives), eliminate SIEM coverage blind spots at 70-80% lower cost, and deploy in a day-all while maintaining full custody of their data in their own S3 buckets. We believe security tools should scale with your data, not your budget. Teams shouldn't have to choose between comprehensive coverage and financial sustainability. The Team We're an early-stage team where every person has outsized impact on what we build and how we serve customers. People join Scanner because they want to: - Solve genuinely hard technical problems - Making petabyte-scale search feel instant

### Senior Embedded Machine Learning Engineer (C++) - Scandit
- Location: Tampere (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-21
- Apply: https://www.scandit.com/careers/job-description/?gh_jid=7951108
- Excerpt: Senior Embedded Machine Learning Engineer (C++) Tampere Machine Learning Engineer (C++, Computer Vision) Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level. About the role We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art. If these challenges sound interesting to you, we'd love to hear from you! What you will do - Driving and solving semantic document parsing for our customer use cases - Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging) - Stay up to date with the latest research in document classification, text recognition and information extraction - Set direction and identify opportunities to push boundaries of recognition - Mentoring team members on code quality and engineering practices Who you are You are a senior engineer who

### Software Development Manager, Neuron Tools, Annapurna Labs - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $185K-$250K
- Posted: 2026-01-27
- 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/3167861/software-development-manager-neuron-tools-annapurna-labs
- Excerpt: Software Development Manager, Neuron Tools, Annapurna Labs Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the Tools Team, you will be responsible for leading a talented team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will oversee the design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, TensorFlow, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with along with direct customer-facing experience and a strong motivation to achieve results. A day in the life day in the life You will work with the executive

### Machine Learning Systems Engineer, Siri Runtime Systems and Interaction - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $127K-$221K
- Posted: 2026-03-03
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200649481/machine-learning-systems-engineer-siri-runtime-systems-and-interaction?team=SFTWR
- Excerpt: Machine Learning Systems Engineer, Siri Runtime Systems and Interaction Cupertino, United States of America The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities. Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you. As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products. Integrating ML models into production software pipelines with focus on performance and reliability Building and optimizing infrastructure for ML model evaluation, analysis, and deployment Collaborating with ML engineers to understand model requirements and translate them into efficient system implementations Optimization of existing systems for ML workloads and debugging complex software-ML integration issues Working cross-functionally to drive requirements from concept through feature launch Writing clean, maintainable production code with comprehensive documentation and tests Contributing to architecture decisions, design reviews, and peer code reviews Acting as a force-multiplier

### Machine Learning Engineer - Relace
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/relace/2deb110b-b848-4316-a120-f1864d788e94
- Excerpt: Machine Learning Engineer San Francisco | OnSite ABOUT US Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. THE ROLE We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design. The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable optimizing compute and networking paths as they are working alongside research teams to productionize new architectures. This is a role for someone who enjoys deep performance tuning, understands the realities of running large-scale ML systems, and thrives in fast-moving, high-leverage environments. REQUIREMENTS - Strong background in systems-level ML

### Software Screening & Integration Engineer, Generative AI Experiences Software (Special Projects) - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2025-10-27
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200606538/software-screening-integration-engineer-generative-ai-experiences-software-special-projects?team=SFTWR
- Excerpt: Software Screening & Integration Engineer, Generative AI Experiences Software (Special Projects) Cupertino, United States of America At Apple, we strive to make great products that empower people and improve their lives. We believe Generative AI has the potential to unlock new experiences that were never possible before, and are looking for talented software engineers to realize that mission by expanding the capabilities of Apple products and platforms. We are looking for a proficient, observational, and analytical engineer to screen incoming issues and implement tooling to support our engineering team and help scale a rapidly growing team. In this role, you'll be a key contributor during all stages of software development. This is an opportunity to work in an extremely talented team. Learning and building of skill-sets is highly encouraged. This role has the opportunity to grow in many directions. As a screening & integration engineer on the Generative AI Experiences Software team, you will review and triage incoming bugs, analyze logs and help determine priority of issues. You will be expected to identify potential trends in incoming bugs and escalate to cross-functional team members. You will also be responsible for integrating our software with the broader operating system, and will gain encyclopedic knowledge of our area of focus and bugs in our components. We are looking for someone with excellent communication skills, because of the high level of interaction with the engineering teams, management, other organizations within Apple. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused

### Senior Application Security Engineer - ConsenSys
- Location: UNITED STATES - Remote, EMEA - Remote (remote)
- Salary: $130K-$218K
- Posted: 2026-03-30
- Apply: https://consensys.io/open-roles/7743627?gh_jid=7743627
- Excerpt: Senior Application Security Engineer UNITED STATES - Remote, EMEA - Remote Consensys is the leading blockchain and web3 software company. Founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum in 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem. The financial system is being rebuilt on open, programmable infrastructure, and Consensys is helping power that transition. From MetaMask, the platform trusted by tens of millions of users worldwide, to Linea, the only 100% proven zkEVM rollup and an emerging home for institutional ETH capital, Consensys builds products and infrastructure that enable users, developers, and institutions to participate in the next generation of the internet. Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on. Joining Consensys means working with a fully remote, globally distributed team of technologists, designers, cryptographers, product thinkers, and researchers who are building the next layer of the internet. You'll be exposed to new ideas, emerging technologies, and complex challenges that push you to stay at the top of your game while helping scale products and infrastructure used by tens of millions of users and thousands of developers across the web3 ecosystem. You'll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies. About MetaMask We're building for a future where the internet and world economy empowers

### Sr. Machine Learning Research Engineer, Siri Speech - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $181K-$318K
- Posted: 2026-05-16
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200663638/sr-machine-learning-research-engineer-siri-speech?team=MLAI
- Excerpt: Sr. Machine Learning Research Engineer, Siri Speech Cupertino, United States of America We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale while we preserve user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You will see your ideas not only published in papers, but also improve the experience of millions of users. As a researcher on our team, you'll help us advance the state of the art in efficient machine learning for speech and multi-modal modeling, with a strong focus on

### Sr Applied Scientist, Generative AI/ML - Adobe Inc.
- Location: Seattle (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-19
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Sr-Applied-Scientist--Generative-AI-ML_R161947
- Excerpt: Sr Applied Scientist, Generative AI/ML Seattle posted: Posted 24 Days Ago

### Backend Engineer | Mid | PHP | Security Tools Squad - Nord Security
- Location: Vilnius, Lithuania, Kaunas (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Mental health support: yes (not source-backed)
- Apply: https://jobs.ashbyhq.com/nord-security/e2a5ebbd-cd21-4803-b969-f50ba9a9f344
- Excerpt: Backend Engineer | Mid | PHP | Security Tools Squad Vilnius, Lithuania, Kaunas At Nord Security's B2B team, we build cybersecurity products that enable businesses to protect themselves and their data. From product and engineering to sales, marketing, and data - our teams work closely together to deliver secure, scalable solutions trusted by companies around the world. Your impact? Empowering businesses everywhere to keep their people, systems, and data safe. Main Responsibilities - Build, extend, and own security-facing backend services (breach detection, email masking, and related tooling) with a high bar for quality, performance, and correctness. - Use AI-assisted workflows daily (code generation, test scaffolding, debugging, performance tuning) and continuously evaluate new tooling that can improve the squad's output. - Help establish shared AI practices within the team: review patterns, prompt libraries, and guardrails so AI-generated code meets the same standard as hand-written code. - Participate in system design and architectural decisions, advocating for solutions that are secure, scalable, and maintainable. - Collaborate cross-functionally with Frontend, Android, iOS, and Backend engineers to deliver end-to-end features across all platforms. - Take ownership of what you build, from design through production, and hold yourself accountable for uptime, reliability, and code quality. Core Requirements - 3+ years of hands-on PHP development in production systems. - Demonstrable AI-native workflow: you already use tools like Cursor, Copilot, Claude, or similar daily for code generation, refactoring, test creation, and debugging, and you take full ownership of every output. - Solid grasp of system design. You know

### Backend Engineer - Speak
- Location: San Francisco | Hybrid | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/speak/29bdc4b4-de67-4463-a288-dd78db99bda4
- Excerpt: Backend Engineer San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We are looking for a senior backend focused but full-stack capable engineer to work on building novel AI-powered product experiences. The ideal candidate will have experience working in close coordination with product, design, and machine learning teams, as well as have a background in building polished consumer applications. This role sits at the center of developing our newest products focused on programmatic, conversationally-driven language learning and will

### Hardware Machine Learning Engineer - IMC Trading
- Location: Chicago, United States; New York, United States (unspecified)
- Salary: $200K-$225K
- Posted: 2026-02-13
- Apply: https://job-boards.eu.greenhouse.io/imc/jobs/4713602101
- Excerpt: Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world. We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite. Your Core Responsibilities - Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs - Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions - Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production - Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems Your Skills and Experience - Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how

### AIML - Machine Learning Research - Apple
- Location: Seattle, United States of America (unspecified)
- Salary: $140K-$258K
- Posted: 2025-11-19
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200632967/aiml-machine-learning-research?team=MLAI
- Excerpt: AIML - Machine Learning Research Seattle, United States of America 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 strengthening each other's ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! In this organization, we work hard to bring the best user experiences powered by Apple Intelligence. Our team is instrumental in powering and enhancing features across a range of Apple products, including Siri, Spotlight, Safari, Messages, and more. We are an Applied ML team pushing the limits of question answering, assistant response ranking, summarization, and search technologies, while also responsible for a production service. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You

### Machine Learning Researcher, Audio - Protege
- Location: Remote, United States (remote)
- Salary: Not disclosed
- Posted: 2026-06-01
- Apply: https://jobs.ashbyhq.com/protege/6348293b-5549-4692-bef0-bac0c4b0bda5
- Excerpt: Machine Learning Researcher, Audio Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. Role Overview Data is the foundation of AI performance, and we believe model quality starts with data quality. For speech and audio models in particular, the bar for signal fidelity, consistency, and quality control is exceptionally high. We're seeking a Machine Learning Researcher focused on audio data quality, ML data evaluation, and quality control to lead the evaluation and optimization of large-scale speech datasets used to train audio, speech, and multimodal models. This role will be responsible not only for applying existing audio quality metrics, but also for researching how audio data quality should be evaluated for machine learning systems and developing new methods, benchmarks, and evaluation frameworks that better predict downstream model performance. You

### Machine Learning Engineer - Aptiv
- Location: Shanghai, China (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://aptiv.wd5.myworkdayjobs.com/APTIV_CAREERS/job/Shanghai-China/Machine-Learning-Engineer_J000670488
- Excerpt: Machine Learning Engineer Shanghai, China posted: Posted 30+ Days Ago

### AI Strategy Associate - Iovance Biotherapeutics Inc
- Location: Remote (remote)
- Salary: $100K-$125K
- Posted: 2026-05-31
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/iovancebiotherapeutics/jobs/5234975008
- Excerpt: AI Strategy Associate Remote Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer. Overview Iovance Biotherapeutics is a commercial-stage cell therapy company focused on developing life-saving cancer immunotherapies. We are building an internal AI Strategy & Operations function to drive measurable cost savings and operational efficiency across the entire organization. We are looking for an AI Strategy Associate to drive process discovery and optimization across Iovance. This role is the analytical engine of our AI program. You will run a comprehensive diagnostic across 15 business functions, build the financial models that translate use cases into P&L savings commitments, and manage stakeholder relationships across the company. Think of this as the operating-side equivalent of a top-tier consulting engagement. You will interview stakeholders, map pain points to savings levers, build controlled comparisons to prove AI impact, and deliver a financial model the CFO can underwrite. In this role, you will own the outcomes, not just the recommendation. Unlike traditional analyst roles, the successful applicant is required to be adept at using AI tools, be able

### Senior Platform Engineer, Ingestion - LangChain
- Location: Sweden (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Apply: https://jobs.ashbyhq.com/langchain/ea3df015-477b-4197-a53f-c44029632a7d
- Excerpt: Senior Platform Engineer, Ingestion Sweden About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like

### Software Engineer, Full Stack (Enterprise Lifecycle) - 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/14002943-e011-425c-8f72-3c727c543668
- Excerpt: Software Engineer, Full Stack (Enterprise Lifecycle) 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 Enterprise Lifecycle team is a newly formed engineering team dedicated to ensuring Benchling's largest customers-internationally recognizable names developing some

### Principal Data Scientist, Predictive AI - Genentech, Inc.
- Location: South San Francisco, California, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- 401(k) match: listed (not source-backed)
- Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Principal-Data-Scientist--Predictive-AI_202605-112573-1/apply
- Excerpt: Principal Data Scientist, Predictive AI South San Francisco, California, United States of America Exciting opportunity for a Principal Data Scientist to lead enterprise AI/ML innovation at Genentech. Drive advanced analytics, deep learning, and predictive modeling for healthcare, commercial, and medical domains. Collaborate with cross-functional teams, shape strategy, and deliver impactful solutions in a dynamic, inclusive environment. Join us to transform healthcare with data and AI.

### Sr. Product Manager, Specialized Modeling & Verticals - 6Sense
- Location: United States, Remote (remote)
- Salary: $145K-$212K
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/6sense/jobs/7994493?gh_jid=7994493
- Excerpt: Sr. Product Manager, Specialized Modeling & Verticals United States, Remote Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Sr Product Manager, Specialized Modeling & Verticals At 6sense, our core predictive foundation provides the engine, but our specialized models provide the steering for specific business outcomes. We are looking for a Sr Product Manager to own Specialized Modeling & Verticals-focusing on the intelligence that powers verticalized tasks and addresses specific B2B marketing needs. You will work closely with the PM Lead to leverage foundational intelligence and build out specialized layers that solve the specialized enterprise revenue challenges. Why 6sense? - AI That Builds Pipe, Not Hype: Our Revenue AI™ identifies accounts ready to buy, crafts the right message, and qualifies meetings automatically. We don't just surface data-we deliver intelligence and action. - Crack the Dark Funnel™: Less than 3% of buyers engage early.

### SMB Account Executive - 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/d897a65f-eddf-4b45-ade1-029b0c029b95
- Excerpt: SMB Account Executive 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 As an SMB Account Executive, you'll be responsible for driving new business within your territory - engaging small biotech and life sciences companies

### Scientist II, Translational Biology - Sarepta Therapeutics
- Location: Columbus, OH (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- 401(k) match: listed (not source-backed)
- Apply: https://sarepta.wd5.myworkdayjobs.com/sarepta_external/job/Columbus-OH/Scientist-II--Translational-Biology_R-03201-1
- Excerpt: Scientist II, Translational Biology Columbus, OH posted: Posted 14 Days Ago

### Machine Learning Video Processing Engineer - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $127K-$191K
- Posted: 2026-03-20
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200652693/machine-learning-video-processing-engineer?team=MLAI
- Excerpt: Machine Learning Video Processing Engineer Cupertino, United States of America Want to work on cutting edge technology that keeps the customer front and center? The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. As a machine learning engineer, you'll be developing machine learning based technologies for the image and video domain. As a member of a fast-paced team, you will also have the unique and exciting opportunity to shape upcoming products that have direct customer impact and will delight and inspire millions of people every day! This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of video and image processing quality. Your primary focus will be applying cutting-edge machine learning techniques to complex image and video challenges to create customer impact across current and future Apple products. In this role, you'll work both independently and collaboratively with team members to prototype innovative deep learning applications for video processing, presenting and demonstrating your work to cross-functional teams and leadership alike. You'll be responsible for designing sophisticated model architectures, fine-tuning performance parameters, and implementing architectural modifications to enhance overall output quality. Working closely with the team, you'll focus on seamlessly porting solutions across different platforms while optimizing models for memory efficiency, power consumption, and processing speed to balance quality in operating constraints. Additionally, you'll strategically distribute computational workloads across CPU, GPU, Apple Neural Engine, and other specialized hardware

### Senior Full Stack Developer - Function Health
- Location: United States - Remote (remote)
- Salary: Not disclosed
- Posted: 2026-02-20
- Apply: https://jobs.gem.com/function-health/am9icG9zdDoNjXTVhn3IivAABRhIKIiH
- Excerpt: Senior Full Stack Developer United States - Remote Senior Full Stack Developer Location : Remote (US or Canada) Type : Full-time About Us: Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips hundreds of thousands of members with the intelligence to take control of both the quality and length of their lives. Function has been recognized as one of Fast Company's Most Innovative Companies of 2024 and is venture-backed by Andreessen Horowitz (a16z) ,with a recently announced $298M Series B. Function's Imaging Team powers one of the most advanced cancer screening platforms in the world, offering AI-driven MRI scans across 13 organs at 180+ imaging facilities in 150+ cities across the US and abroad. This infrastructure sits at the core of Function's mission to move healthcare from reactive to proactive, and is scaling rapidly as part of the company's next chapter of growth. We are building a world-class team that believes deeply in that mission, operates with a relentless bias toward action, and brings the technical rigor to match the ambition. Role: As a Senior Full Stack Developer on the imaging team, you will be a technical leader who architects, builds, and scales the web platforms that power our cancer‑screening experience. You'll mentor engineers, drive best practices, and ensure that our .NET‑based backend and modern Vue frontend work seamlessly together to deliver reliable, secure, and delightful products that

### Sr Engineer, Server Inference - TensTorrent
- Location: Belgrade, Serbia (unspecified)
- Salary: Not disclosed
- Posted: 2025-07-18
- Apply: https://job-boards.greenhouse.io/tenstorrent/jobs/4790537007
- Excerpt: Sr Engineer, Server Inference Belgrade, Serbia 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. Join our Inference Server Technologies team, where we develop software that powers state-of-the-art AI inferencing on Tenstorrent's cutting-edge hardware. Our team builds the layer that works on top of the Tenstorrent ML libraries - designing APIs, deploying workloads, and benchmarking end-to-end inference speed. You'll help us shape how developers consume and scale model execution on Tenstorrent's stack. This role is hybrid based in Belgrade, Serbia. We welcome candidates at various experience levels. 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 - An engineer who enjoys designing modern APIs and improving how ML models are deployed in production. - Curious about performance gains through techniques like batching, caching, and model parallelism. - Passionate about clean software architecture and effective abstraction layers. - Motivated to deliver backend systems that developers trust

### Member of Technical Staff - Pretraining - Black Forest Labs
- Location: Freiburg (Germany) (unspecified)
- Salary: EUR 130K-340K
- Posted: 2026-04-20
- Apply: https://job-boards.greenhouse.io/blackforestlabs/jobs/5193508008
- Excerpt: Member of Technical Staff - Pretraining Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role We're building the foundation models that power the next wave of visual intelligence - and pretraining is where that work begins. This role sits at the center of our research effort. You'll shape training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models, with a direct line from your research to products used by millions. This is a Staff / Senior IC role. We're looking for someone who has already led pretraining at the frontier and wants to do it again. What You'll Work On - Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies) - Develop and evaluate novel ideas across architecture, optimizers, and training algorithms. - Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design - Lead focused research projects independently and drive larger cross-team initiatives What We're Looking For -

### Machine Learning Research Engineer, Agents - Enterprise GenAI - Scale AI
- Location: San Francisco, CA; New York, NY (unspecified)
- Salary: $265K-$331K
- Posted: 2025-10-31
- Apply: https://job-boards.greenhouse.io/scaleai/jobs/4625344005
- Excerpt: Machine Learning Research Engineer, Agents - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly into our training stack. - Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets - including defining highly performant

### Senior Backend Engineer, Analytics - Movable Ink
- Location: Movable Ink - Toronto (Remote) (remote)
- Salary: CAD 140K-180K
- Posted: 2026-04-08
- Apply: https://movableink.com/job-listing?gh_jid=7776387
- Excerpt: Senior Backend Engineer, Analytics Movable Ink - Toronto (Remote) Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world's most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. You'll be joining an Analytics team responsible for all measurement, attribution, and the creation of an intuitive reporting UI for our digital marketing platform. This is a unique opportunity to shape how marketers view and interact with data - transforming raw metrics into insights that drive impactful campaigns and real business value. Join us to make your mark on a fast-growing team, take ownership of innovative projects, and work closely with cross-functional partners to build a product that marketing teams rely on daily. Responsibilities: - Design, build, and maintain scalable backend systems that power our measurement, attribution, and reporting capabilities - Develop robust data pipelines and services to transform raw event streams and metrics into actionable insights - Collaborate closely with stakeholders to define and shape a seamless, intuitive reporting UI that empowers users to understand and act on provided insights - Own key backend components-from service architecture to deployment and monitoring-ensuring reliability, scalability, and performance at scale - Champion engineering best practices around code quality, testing, observability, and system health - Mentor junior engineers and contribute to a culture of

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