# FewerJobs export - 100 curated jobs
Generated: 2026-08-13T14:14:14.418Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Asimov
- **quality_floor**: default
- **match_401k_strict**: true
- **parental_strict**: true
- **non_birth_strict**: true
- **pto_strict**: true
- **include_older**: false
- **apply_url_verified**: false
- **page**: 1
- **per_page**: 100
- **sort**: relevance

## Jobs
### Senior Scientist, Biologics Cell Line Development - Asimov
- Location: Boston, MA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/asimov/63faa6b3-f84f-4181-bc2e-8e0c0f885cc8
- Excerpt: Senior Scientist, Biologics Cell Line Development Boston, MA Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics. We are seeking a Senior Scientist to join our Biologics Cell Line Development team in Boston, MA and help push the boundaries of biotherapeutic cell line development. This role is for a scientific innovator and a manager of junior scientists. The successful candidate will conduct & supervise CHO-based cell line development for biologic therapeutics moving into clinical development. Significant effort designing complex experimental approaches to improve expression systems and workflows through innovation and implementation of new technology is also an important part of this role. The successful candidate will also work cross-functionally with Asimov's synthetic biology, modeling, process development and analytical teams. This is a unique opportunity to work at a nimble, forward-thinking synthetic biology startup and help build the future of biological engineering. About the Role: - You'll perform CHO cell line development processes including transfection, cloning, characterization, and cell banking using state-of-the-art equipment. - You'll drive innovation through the development of improved genetic components, host cell line engineering and cell line development process optimization. - You'll identify emerging practices for biologics cell line development and manufacturing to shape scientific strategies and continued innovation. - You'll represent the cell line development team on cross-functional projects, making decisions for cell line activities and effectively

### Associate Director, Strategic Alliance (Genetic Medicine) - Asimov
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/asimov/5ac6ec79-e4f6-4610-babf-73e8bbded215
- Excerpt: Associate Director, Strategic Alliance (Genetic Medicine) Remote Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized societal benefits. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics. The Associate Director, Strategic Alliance (Genetic Medicine) will play a pivotal role in supporting the deployment of our AAV Edge, RNA Edge, and LV Edge technologies in customer sites and delivering on cell line development (CLD) service campaigns for our customers. Asimov's LV Edge and AAV Edge technologies represent a fundamental shift in genetic medicines, moving the industry beyond the limitations of transient transfection by combining genetic design with high-performance, stable producer cell lines, to achieve higher, more consistent viral titers. This role involves building and nurturing long-term, mutually beneficial relationships with pharmaceutical and biotech companies, technology providers, academic institutions, and other strategic partners. About the Role: Program Execution - Provide expert technical guidance on tech-out evaluation design, CLD planning, scale-up, optimization, and troubleshooting for various biopharmaceutical manufacturing processes (e.g., mammalian cell culture, purification, analytical methods, and viral vector production). - Work cross-functionally with internal departments (CLD, DNA Assembly, Process Development, Analytical Development, Quality, Facilities, Business Development) to ensure project success. - Oversee the preparation and review of critical documentation, including tech transfer plans, protocols, CLD reports, cell history documentation, and drug master filings. - Develop and implement standardized tech transfer procedures, protocols, and

### Staff Software Engineer - Asimov
- Location: Boston, MA | Hybrid | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/asimov/5f4f9be7-d2be-47e4-956c-7c8568d1dbab
- Excerpt: Staff Software Engineer Boston, MA | Hybrid | Remote Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics. What would software engineering be like without an IDE? How could humans design a modern plane without CAD? Genetic engineering will be even more demanding-and we're building the tools to make it possible. Kernel is our platform for bioengineers to design, build, and debug genetic systems as confidently as we ship code. We're looking for a Staff Software Engineer to help us build it. You'll join an interdisciplinary team that works directly with scientists, synthetic biologists, and computational biologists alongside your teammates in software engineering and product. About the Role: - Make architectural decisions that will shape Kernel for years, with real ownership over how the system evolves. - Design GraphQL APIs for searching, editing and analyzing tens of thousands of genetic constructs using Python 3, SQLAlchemy and Strawberry. - Architect data models that represent the genuine complexity of biological systems. - Interface directly with synthetic biologists to understand their workflows and identify tools that would transform their productivity. - Be part of an on-call rotation to support the software you've helped develop. About You: - You have 10+ years building production software - systems that other engineers depend on, not research code that runs once. - You have deep expertise in Python

### Principal Scientist, Biologics Cell Line Development - Asimov
- Location: Boston, MA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/asimov/f27c8759-5ebf-4605-a30c-dd6da318ad97
- Excerpt: Principal Scientist, Biologics Cell Line Development Boston, MA Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics. We are seeking a Principal Scientist to join our Biologics Cell Line Development team in Boston, MA and help push the boundaries of biotherapeutic cell line development. This role is for a scientific innovator and a manager of junior scientists. The successful candidate will conduct & supervise CHO-based cell line development for biologic therapeutics moving into clinical development. Significant effort designing complex experimental approaches to improve expression systems and workflows through innovation and implementation of new technology is also an important part of this role. The successful candidate will also work cross-functionally with Asimov's synthetic biology, modeling, process development and analytical teams. This is a unique opportunity to work at a nimble, forward-thinking synthetic biology startup and help build the future of biological engineering. About the Role: - You'll perform CHO cell line development processes including transfection, cloning, characterization, and cell banking using state-of-the-art equipment. - You'll drive innovation through the development of improved genetic components, host cell line engineering and cell line development process optimization. - You'll identify emerging practices for biologics cell line development and manufacturing to shape scientific strategies and continued innovation. - You'll represent the cell line development team on cross-functional projects, making decisions for cell line activities and effectively

### Senior AI Scientist/Lead AI Scientist - Owkin
- Location: UK, United Kingdom, Paris, Germany (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-19
- Apply: https://jobs.ashbyhq.com/owkin/ca1a3d15-8e59-4a6d-8256-20a01c6ec715
- Excerpt: Senior AI Scientist/Lead AI Scientist UK, United Kingdom, Paris, Germany About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English About the role: We are looking for a visionary ML/AI Scientist to lead the development of our AI Scientist -an autonomous agentic system designed to navigate the complexities of drug discovery. This role isn't just about training models; it's about building "scientists in a box" that can reason over biological data, design experiments, and autonomously drive therapeutic breakthroughs. Unlike traditional ML roles that focus on single-task optimization, you will be building a meta-researcher . You'll be at the heart of Owkin's mission, creating the engine that will discover the next generation of life-saving therapeutics. In particular, you will: - Architect Agentic Systems: Design and implement sophisticated AI agents capable of multi-step reasoning, tool-use, and self-correction. - Bridge AI and Wet-Lab: Develop frameworks where agents can propose hypotheses and design "optimal experiments" to be validated in the lab. - Scale the "Hacker" Approach: Rapidly prototype and iterate on agentic architectures, moving from paper to

### AI Scientist - Pearson plc
- Location: Poland (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- Apply: https://hccz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2/requisitions/job/24435
- Excerpt: AI Scientist Poland AI Scientist

### Senior Applied Scientist, Alexa Sensitive Content Intelligence (ASCI) - Amazon
- Location: Bengaluru, Karnataka, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3155415/senior-applied-scientist-alexa-sensitive-content-intelligence-asci
- Excerpt: Senior Applied Scientist, Alexa Sensitive Content Intelligence (ASCI) Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned

### (Senior)Scientist, AI Alliance/Innovation - AstraZeneca
- Location: Shanghai Jing'An Office (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- 401(k) match: listed (not source-backed)
- Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Shanghai-JingAn-Office/XMLNAME--Senior-Scientist--AI-Alliance-Innovation_R-253487
- Excerpt: (Senior)Scientist, AI Alliance/Innovation Shanghai Jing'An Office posted: Posted 10 Days Ago

### AI Research Scientist, Robotics - Meta
- Location: Redmond, WA; Burlingame, CA (unspecified)
- Salary: $219K-$301K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://www.metacareers.com/jobs/3068587003348843/
- Excerpt: AI Research Scientist, Robotics Redmond, WA; Burlingame, CA At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We're seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization. Responsibilities: - Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence - Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.) - Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence -

### Applied Scientist, Edge AI and Science - Amazon
- Location: Cambridge, England, GBR (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- 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)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10442934/applied-scientist-edge-ai-and-science
- Excerpt: Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

### Research Scientist, Interpretability - Anthropic
- Location: San Francisco, CA (unspecified)
- Salary: $350K-$850K
- Posted: 2025-11-07
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/4980427008
- Excerpt: Research Scientist, Interpretability San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We're looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we'd had to solve to get

### Senior Applied Scientist , Alexa AI Aurora - Amazon
- Location: Bellevue, Washington, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2026-03-19
- 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/10371758/senior-applied-scientist-alexa-ai-aurora
- Excerpt: Senior Applied Scientist , Alexa AI Aurora Bellevue, Washington, USA The Alexa AI, AURORA: Alexa Understanding, Runtime, ORchestration, and Applied sciences org is seeking a passionate, talented, and resourceful Senior Applied Scientist to invent and build scalable solutions for sate-of-the-art conversational AI. You will be working on advancing technologies in the fields of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP). As part of this role, you will collaborate with talented peers, have significant influence on our overall strategy as you guide and mentor Applied Scientists to create innovative and scalable solutions that touch millions of Alexa customers. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of AI, and practical experience building large-scale machine learning systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Join us in our mission to shape the space of Generative AI and provide unparalleled experiences for our customers. Key job responsibilities • Define the science roadmap and advance core science primitives for conversation modelling, content generation, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI • Architect

### Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $172K-$222K
- Posted: 2026-05-27
- 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)
- 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/10431050/applied-scientist-ii-amazon-aws-agentic-ai-aws-ai-fundamental-research
- Excerpt: Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research Santa Clara, California, USA Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon's heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. A day in the life

### Sr. Applied Scientist, Amazon Robotics - Amazon
- Location: Boston, Massachusetts, USA (unspecified)
- Salary: $167K-$226K
- 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)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10436836/sr-applied-scientist-amazon-robotics
- Excerpt: Sr. Applied Scientist, Amazon Robotics Boston, Massachusetts, USA Are you interested in how to build AI reasoning systems that give provably correct answers? Are you excited by science at the interface of classical AI reasoning and Large Language Models (LLMs)? Would you like to apply your technology to serve operations customers better? Amazon Robotics is looking for a talented Applied Scientist in Neurosymbolic AI. You will innovate on combining language models (LMs) with classical AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in papers at leading venues in AI. You will be part of a larger team and have the opportunity to work on problems such as: using LMs to generate plans, using AI reasoning to verify plan correctness, learning efficient reasoning strategies, self-improving models. You will work on basic science and on business problems in robotics, automation and fulfillment across our operations. Key job responsibilities In this role you will: • Work closely with other scientists and engineers, and be part of Amazon's diverse global science community. • Publish your research in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise. A day in the life You'll meet regularly with your technical lead and your team on your ideas, get guidance and feedback, work together on architectures and algorithms, author papers, build AI systems, all with the aim of delivering results for

### Senior AI Solutions Engineer - Enterprise Knowledge Work - Turing
- Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States (unspecified)
- Salary: $260K-$320K
- Posted: 2026-04-30
- Apply: https://job-boards.greenhouse.io/turing/jobs/5985549004
- Excerpt: Senior AI Solutions Engineer - Enterprise Knowledge Work New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Department : Field Engineering - Pre-Sales (Founding) Level: Senior (Staff level considered for exceptional candidates) Domain: enterprise knowledge work (EKW) Location: Strong preference for SF Bay Area but will consider Seattle and NYC. Reports to: CRO (until VP, Field Engineering is hired) Compensation: OTE $260,000-320,000 (Senior) or $325,000-400,000 (Staff) · 75/25 base/variable split · Equity The Role You will be the first technical partner to Turing's Research Partners selling and demoing custom and off-the-shelf human expert datasets into the frontier AI labs in the enterprise knowledge work domain. Every major lab is racing to push the frontier on multi-step reasoning over enterprise data, tool use, long-horizon task completion, and evaluation that reflects real work. They buy datasets, benchmarks, graders, and

### AI Engineer, PC Automation - Hewlett-Packard
- Location: Austin, Texas, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://hp.eightfold.ai/careers/job/42003730
- Excerpt: AI Engineer, PC Automation Austin, Texas, United States of America

### Senior AI Engineer - Quantum Computing
- Location: London (hybrid) (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://jobs.ashbyhq.com/quantum/e42d30b8-6b00-403e-9dcc-3eb313edf54b
- Excerpt: Senior AI Engineer London (hybrid)

### AI Support Engineer (US) - Dust
- Location: San Francisco, California, United States (unspecified)
- Salary: $160K-$200K
- Posted: 2026-03-01
- Apply: https://jobs.ashbyhq.com/dust/24b8c0ad-9cc5-4c64-8b78-caa57ca4b08e
- Excerpt: AI Support Engineer (US) San Francisco, California, United States About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . About the Role At Dust, we're coining the term AI Operator : someone who rethinks and rebuilds company processes around AI. Not "how can AI help us do this faster?" but "if AI existed from day one, would we even do this the same way?" The AI Support Engineer applies this mindset

### Applied Scientist II, Console Science - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $172K-$222K
- Posted: 2026-03-23
- 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/10373514/applied-scientist-ii-console-science
- Excerpt: Applied Scientist II, Console Science Santa Clara, California, USA We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). You will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. A day in the life The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you. We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA About the team AWS Utility Computing (UC) provides

### Senior AI Research Scientist - Cerence Inc
- Location: Remote - Germany (remote)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://cerence.wd5.myworkdayjobs.com/Cerence/job/Remote---Germany/Senior-AI-Research-Scientist_R0005923
- Excerpt: Senior AI Research Scientist Remote - Germany posted: Posted Yesterday

### Senior Scientist - Artificial Intelligence - GE Vernova
- Location: Niskayuna (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 10 weeks (not source-backed)
- Non-birth-parent leave: 10 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://gevernova.wd5.myworkdayjobs.com/Vernova_ExternalSite/job/Niskayuna/Senior-Scientist---Artificial-Intelligence_R5023296-2
- Excerpt: Senior Scientist - Artificial Intelligence Niskayuna posted: Posted 30+ Days Ago

### Agentic AI Scientist - AstraZeneca
- Location: US - Durham - NC (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 401(k) match: listed (not source-backed)
- Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---Durham---NC/Associate-Principal-AI-Scientist_R-250533
- Excerpt: Agentic AI Scientist US - Durham - NC posted: Posted 3 Days Ago

### Senior Applied Scientist, Amazon AWS Agentic AI, AWS AI Fundamental Research - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $192K-$260K
- Posted: 2026-06-03
- 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/10438803/senior-applied-scientist-amazon-aws-agentic-ai-aws-ai-fundamental-research
- Excerpt: Senior Applied Scientist, Amazon AWS Agentic AI, AWS AI Fundamental Research Santa Clara, California, USA Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon's heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners and applied scientists who work backwards from customer needs to create novel technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Key job responsibilities The Senior Applied Scientist will lead the

### Senior Research Scientist, Fundamental Generative AI - NVIDIA Corporation
- Location: US, CA, Santa Clara (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Scientist--Fundamental-Generative-AI_JR2013039
- Excerpt: Senior Research Scientist, Fundamental Generative AI US, CA, Santa Clara posted: Posted 30+ Days Ago

### Senior Applied Scientist, ASCS AI Lab Team - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $167K-$226K
- Posted: 2025-12-17
- 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/3144920/senior-applied-scientist-ascs-ai-lab-team
- Excerpt: Senior Applied Scientist, ASCS AI Lab Team Seattle, Washington, USA We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences. Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation. Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store. Key job responsibilities - Design and implement novel AI solutions for Amazon catalog of products - Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models - Build and deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models,

### Principal AI Scientist - Cerence Inc
- Location: Remote - Germany (remote)
- Salary: Not disclosed
- Posted: 2026-05-19
- Apply: https://cerence.wd5.myworkdayjobs.com/Cerence/job/Remote---Germany/Principal-AI-Scientist_R0005857
- Excerpt: Principal AI Scientist Remote - Germany posted: Posted 24 Days Ago

### Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy - Amazon
- Location: San Francisco, California, USA (unspecified)
- Salary: $255K-$345K
- Posted: 2026-02-02
- 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)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3172291/member-of-technical-staff-multimodal-reasoning-applied-science-agi-autonomy
- Excerpt: Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done

### Senior ASIC AI Engineer - NVIDIA Corporation
- Location: US, CA, Santa Clara (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-ASIC-AI-Engineer_JR2019195
- Excerpt: Senior ASIC AI Engineer US, CA, Santa Clara posted: Posted 10 Days Ago

### AI for Science Residency - Machine Learning Resident - Microsoft
- Location: Berlin, BE, DE, Cambridge, England, GB, Amsterdam, NH, NL (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- 401(k) match: listed (not source-backed)
- Apply: https://apply.careers.microsoft.com/careers/job/1970393556871066
- Excerpt: AI for Science Residency - Machine Learning Resident Berlin, BE, DE, Cambridge, England, GB, Amsterdam, NH, NL

### AI Systems, Language & Reasoning Models - Unconventional AI
- Location: Palo Alto, CA I US Remote (remote)
- Salary: Not disclosed
- Posted: 2026-04-14
- 401(k) match: listed (not source-backed)
- Apply: https://unconv.ai/careers/?gh_jid=4221631009
- Excerpt: AI Systems, Language & Reasoning Models Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, Language & Reasoning Models, you will drive the development of foundational language and reasoning models that fundamentally leverage the dynamics of our novel silicon. Your goal is to map the behaviors of modern language models directly onto the physics of our hardware. You will sit at the intersection of NLP/reasoning research and hardware codesign, proving that high-fidelity, large-scale language understanding and generation can be achieved natively on an unconventional computing substrate. What You'll Do - Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. - Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction. -

### Applied Scientist, Console Science - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $172K-$222K
- Posted: 2026-02-12
- 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/3179405/applied-scientist-console-science
- Excerpt: Applied Scientist, Console Science Santa Clara, California, USA We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our Science team in AWS Console, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity

### AI Research Scientist - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-28
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Singapore-Singapore-Suntec-Tower/AI-Research-Scientist_JR2018673
- Excerpt: AI Research Scientist 2 Locations posted: Posted 15 Days Ago

### Science Specialist (Fluent in German) - 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/4607781101
- Excerpt: Science Specialist (Fluent in German) - Freelance AI Trainer Project World Wide - Remote Are you a science specialist fluent in German, 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 problem-solving for scientists and learners everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for science specialists who live and breathe physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. You'll challenge advanced language models on topics like energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world scenarios and theoretical science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in a science field is ideal; teaching experience, published work, lab or field research, or science communication projects signal fit. Fluency in German and clear, metacognitive communication-“showing your work”-are essential. Ready to turn your science 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

### Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) - Amazon
- Location: Bellevue, Washington, USA (unspecified)
- Salary: $143K-$193K
- Posted: 2026-04-02
- 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)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10382309/applied-scientist-ii-alexa-sensitive-content-intelligence-asci
- Excerpt: Applied Scientist II, Alexa Sensitive Content Intelligence (ASCI) Bellevue, Washington, USA The Mission Build AI safety systems that protect millions of Alexa customers every day. As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale. What You'll Build You'll pioneer breakthrough solutions in Responsible AI at Amazon's scale. Imagine training models that set new safety standards, designing automated testing systems that hunt for vulnerabilities before they surface, and certifying the systems that power millions of daily conversations. You'll create intelligent evaluation systems that judge responses with human-level insight, build models that truly understand what makes interactions safe and delightful, and craft feedback mechanisms that help Alexa+ grasp the nuances of complex customer conversations. Here's where it gets even more exciting: you'll build AI agents that act as your team's safety net-automatically detecting and fixing production issues in real-time, often before anyone notices there was a problem. Your innovations won't just improve Alexa+; they'll fundamentally shape how it learns, evolves, and earns customer trust. As Alexa+ continues to delight customers, your work ensures it becomes more trustworthy, safer, and deeply aligned with customer needs and expectations. Your work directly protects customer trust at Amazon's scale. Every innovation you create-from novel safety mechanisms to sophisticated evaluation techniques-shapes how millions of people interact with AI confidently. You're not just building products; you're defining industry standards for responsible AI. This

### Asturian Language 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/4660178101
- Excerpt: Asturian Language Specialist - Freelance AI Trainer Project World Wide - Remote Are you an experienced Asturian language professional eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of learning, communication, and cultural understanding. With high-quality training data, tomorrow's AI can deliver more natural, accurate, and contextually rich Asturian experiences across education, accessibility, and global communication. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a highly skilled Asturian language specialist who can bring linguistic depth, cultural context, and precision to training data. You'll work with cutting-edge AI tools, evaluate and refine Asturian text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to strengthen model performance. On a typical day, you will review and annotate Asturian content, assess AI-generated outputs for accuracy and fluency, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines. Fluency in Asturian is required, along with demonstrated experience in translation, linguistics, language teaching, editing, or related professional work. Experience in training, coaching, or linguistic annotation is a plus. Clear communication skills, cultural knowledge, and attention to detail are essential. Ready to channel your Asturian expertise into building the AI tools of tomorrow? Apply today and help shape the model that will support millions of Asturian speakers worldwide. We offer a pay range of $8 to $65 per hour, with the exact rate

### Principal AI Scientist - Cerence Inc
- Location: Remote - Germany (remote)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://cerence.wd5.myworkdayjobs.com/Cerence/job/Remote---Germany/Principal-AI-Scientist_R0005798
- Excerpt: Principal AI Scientist Remote - Germany posted: Posted Yesterday

### Staff Forward Deployed AI Engineer - Turing
- Location: Bengaluru, Karnataka, India; Gurugram, Haryana, India (unspecified)
- Salary: Not disclosed
- Posted: 2025-03-20
- Apply: https://job-boards.greenhouse.io/turing/jobs/5480607004
- Excerpt: Staff Forward Deployed AI Engineer Bengaluru, Karnataka, India; Gurugram, Haryana, India About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com About the role: Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. Roles & Responsibilities: - Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. - Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing

### AI Research Scientist — Agentic AI for Materials Discovery - Meta
- Location: Redmond, WA; Pasadena, CA (unspecified)
- Salary: $184K-$257K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://www.metacareers.com/jobs/1139345932588438/
- Excerpt: AI Research Scientist — Agentic AI for Materials Discovery Redmond, WA; Pasadena, CA This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines - from computational screening and simulation through synthesis and characterization - across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas - frontier AI and the physical systems underpinning the metaverse and embodied intelligence - and will contribute both production systems and published research at top-tier venues. Responsibilities: - Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines - Build specialized AI sub-agents that operate within a closed-loop discovery framework - Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure - Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis - Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures - Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates - Contribute to open-source tooling and publish research

### Agentic AI & Data Scientist - Kyndryl
- Location: Valbonne (KFR51693) (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://kyndryl.wd5.myworkdayjobs.com/KyndrylProfessionalCareers/job/Valbonne-KFR51693/Agentic-AI---Data-Scientist_R-52929
- Excerpt: Agentic AI & Data Scientist Valbonne (KFR51693) posted: Posted 30+ Days Ago

### AI Research Scientist - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Singapore-Singapore-Suntec-Tower/AI-Research-Scientist_JR2017533
- Excerpt: AI Research Scientist 2 Locations posted: Posted 30+ Days Ago

### Science Specialist (Fluent in Russian) - Freelance AI Trainer Project - Agency
- Location: Poland (unspecified)
- Salary: $8-$65/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4607788101
- Excerpt: Science Specialist (Fluent in Russian) - Freelance AI Trainer Project Poland Are you a science specialist fluent in Russian, 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 problem-solving for scientists and learners everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for science specialists who live and breathe physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. You'll challenge advanced language models on topics like energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world scenarios and theoretical science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in a science field is ideal; teaching experience, published work, lab or field research, or science communication projects signal fit. Fluency in Russian and clear, metacognitive communication-“showing your work”-are essential. Ready to turn your science 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,

### 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

### Senior AI Machine Learning Scientist - Elevance Health, Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://elevancehealth.wd1.myworkdayjobs.com/ANT/job/VA-RICHMOND-2015-STAPLES-MILL-RD/Senior-AI-Machine-Learning-Scientist_JR191033
- Excerpt: Senior AI Machine Learning Scientist 3 Locations posted: Posted Yesterday

### Applied Scientist, Artificial General Intelligence - Data Services - Amazon
- Location: Boston, Massachusetts, USA (unspecified)
- Salary: $143K-$193K
- Posted: 2026-05-17
- 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/10421926/applied-scientist-artificial-general-intelligence-data-services
- Excerpt: Applied Scientist, Artificial General Intelligence - Data Services Boston, Massachusetts, USA AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists. Key job responsibilities Specifically, the Applied Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. • Clean, analyze and select speech/language/other data to achieve goals • Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions • Work with engineers to develop efficient data querying infrastructure for both offline and online use cases Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE,

### Senior AI Scientist - IQVIA
- Location: Durham, North Carolina, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Durham-North-Carolina-United-States-of-America/Senior-AI-Scientist_R1531503
- Excerpt: Senior AI Scientist Durham, North Carolina, United States of America posted: Posted Yesterday

### Applied scientist, Agentic AI, AWS Agentic AI - Amazon
- Location: Tel Aviv-Yafo, Tel Aviv, ISR (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-26
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10430758/applied-scientist-agentic-ai-aws-agentic-ai
- Excerpt: Applied scientist, Agentic AI, AWS Agentic AI Tel Aviv-Yafo, Tel Aviv, ISR Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. Basic Qualifications: - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux

### AI engineer (UK) - Writer
- Location: London, UK, London, England, United Kingdom (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Fertility benefits: yes (not source-backed)
- Apply: https://jobs.ashbyhq.com/writer/e89c9689-d5ed-4b95-8f3c-b13c6f4c94ba
- Excerpt: AI engineer (UK) London, UK, London, England, United Kingdom 🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our

### Principal Scientist, Generative AI - AstraZeneca
- Location: Beijing Yizhuang (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Beijing-Yizhuang/Principal-Scientist--Generative-AI_R-250753
- Excerpt: Principal Scientist, Generative AI Beijing Yizhuang posted: Posted 30+ Days Ago

### AI engineer - Writer
- Location: San Francisco, CA, San Francisco, California, United States, New York City, NY, Seattle, WA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Fertility benefits: yes (not source-backed)
- Apply: https://jobs.ashbyhq.com/writer/8889d06e-efa9-4096-b806-f1626fe060ae
- Excerpt: AI engineer San Francisco, CA, San Francisco, California, United States, New York City, NY, Seattle, WA 🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data.

### Applied AI Researcher - World Reconstruction and Generation - NVIDIA Corporation
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Germany-Remote/Applied-AI-Researcher---World-Reconstruction-and-Generation_JR2019212
- Excerpt: Applied AI Researcher - World Reconstruction and Generation 4 Locations posted: Posted 7 Days Ago

### Senior Python Engineer for Agentic AI - Deutsche Telekom AG
- Location: Romania (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://telekom-growthhub.eightfold.ai/careers/job/563465373287578
- Excerpt: Senior Python Engineer for Agentic AI Romania

### Senior Research Scientist, AI-Mediated Reality and Interaction - NVIDIA Corporation
- Location: US, CA, Santa Clara (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Scientist--AI-Mediated-Reality-and-Interaction_JR2017531
- Excerpt: Senior Research Scientist, AI-Mediated Reality and Interaction US, CA, Santa Clara posted: Posted 30+ Days Ago

### Artificial Intelligence Engineer - Hewlett-Packard
- Location: Bengaluru, Karnataka, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://hp.eightfold.ai/careers/job/42045917
- Excerpt: Artificial Intelligence Engineer Bengaluru, Karnataka, India

### Research Engineer, Knowledge Team - Anthropic
- Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY (remote)
- Salary: $350K-$850K
- Posted: 2024-04-23
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/4017331008
- Excerpt: Research Engineer, Knowledge Team Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: - Designing and implementing from scratch new information architecture strategies - Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures - Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data - Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: - Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using - Have good machine learning research experience - Have experience developing software that utilizes Large Language Models such as Claude - Are results-oriented, with a bias

### Senior Researcher - AI Computer Architecture - Microsoft
- Location: Cambridge, England, GB (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- 401(k) match: listed (not source-backed)
- Apply: https://apply.careers.microsoft.com/careers/job/1970393556866482
- Excerpt: Senior Researcher - AI Computer Architecture Cambridge, England, GB

### AI Scientist - IQVIA
- Location: London, United Kingdom (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- 401(k) match: listed (not source-backed)
- Apply: https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/London-United-Kingdom/AI-Scientist_R1531498
- Excerpt: AI Scientist London, United Kingdom posted: Posted 28 Days Ago

### Master Thesis Automated Generative AI Evaluation (f/m/x) - BMW
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://www.bmwgroup.jobs/job-invite/187445/?locale=en_US
- Excerpt: Master Thesis Automated Generative AI Evaluation (f/m/x) Location not specified THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE. SHARE YOUR PASSION. World-leading technologies don't make it into a BMW until they've undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. We, the BMW Group, focus on benchmarking Generative AI and applying the latest advances in machine learning, computer vision, natural language processing, and human interaction. Our team of experienced AI developers works at the crossroads of AI, specifically Generative AI, machine learning, linguistics, and general computer science to turn science fiction into reality with industrial applications. What awaits you? You will support the development of intelligent and innovative evaluation systems for our in-car LLM and VLM-based systems using generative AI. Furthermore, you help design test scenarios, performance metrics, and validation protocols to assess natural language understanding, multi-agent coordination, Model Context Protocol (MCP) principles, and multimodal context inputs including audio and vision. In addition, your ideas will become an integral part of our product and process portfolios. Moreover, you will contribute to close collaboration with suppliers and internal teams to exchange in

### Senior Product Manager, AWS Neurosymbolic AI - Amazon
- Location: Boston, Massachusetts, USA (unspecified)
- Salary: $152K-$206K
- Posted: 2026-05-14
- 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/10420150/senior-product-manager-aws-neurosymbolic-ai
- Excerpt: Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

### Literature Specialist – Freelance AI Trainer Project - Agency
- Location: World Wide - Remote (remote)
- Salary: $6-$65/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4784881101
- Excerpt: Literature Specialist – Freelance AI Trainer Project World Wide - Remote Are you a literature expert eager to shape the future of AI? Large-scale language models are evolving from simple conversational tools into systems capable of analyzing texts, interpreting themes, and supporting literary scholarship. With high-quality training data, tomorrow's AI can help democratize access to literary analysis, support education, and deepen understanding of world literature. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for literature specialists and avid readers with strong familiarity in areas such as classical literature, modern and contemporary fiction, poetry, drama, literary theory, comparative literature, and critical analysis. You'll challenge advanced language models on topics such as thematic interpretation, narrative structure, authorial style, symbolism, historical context, genre conventions, and close reading-documenting failure modes so we can strengthen model reasoning and interpretive accuracy. On a typical day, you will engage the model with literary passages, analytical questions, and interpretation tasks; verify factual accuracy and coherence; evaluate the depth and validity of literary analysis; capture reproducible error traces; and provide structured feedback to improve prompts, evaluation criteria, and reasoning quality. A degree in literature, English, comparative literature, or a related humanities field is preferred but not required. Teaching experience, academic research, editorial work, or extensive reading and writing experience are all valuable indicators of fit. Clear, metacognitive communication-explicitly articulating reasoning and interpretive steps (“showing your work”)-is essential. Ready to turn your literature expertise into the knowledge foundation for

### AI Research Scientist —Generative AI for Materials Discovery - Meta
- Location: Redmond, WA; Pasadena, CA (unspecified)
- Salary: $154K-$217K
- Posted: 2026-06-07
- 401(k) match: listed (not source-backed)
- Apply: https://www.metacareers.com/jobs/968722059080516/
- Excerpt: AI Research Scientist —Generative AI for Materials Discovery Redmond, WA; Pasadena, CA Meta's Reality Labs Research (RL-R) brings together a team of researchers, developers, and engineers to create the future of Mixed Reality (MR), Augmented Reality (AR), and Wearable Artificial Intelligence (AI). The Materials and Systems Innovation (MSI) group within Reality Labs Research creates and accelerates breakthrough materials and device technologies that unblock the path to low-cost, all-day wearable AR devices and advanced sensing and actuating systems for robotics. We identify key technology gaps requiring step-change innovation, build AI-driven autonomous discovery pipelines to compress development timelines, leverage external partners to accelerate research, and deliver high-quality technology solutions through cross-functional, high-performing teams. In this role, you will pioneer the application of generative AI to design novel compounds and molecular crystals, directly accelerating the discovery of next-generation materials for AR/VR devices and advanced robotic systems. Working at the frontier of deep generative modeling, computational chemistry, and agentic AI, you will develop and deploy state-of-the-art models - including diffusion models, flow matching, and transformer-based architectures - that predict and generate stable crystal structures and molecular candidates with target properties. Your work will be tightly integrated into our AI-driven autonomous discovery platform, collaborating with computational chemists and AI agent scientists to close the loop from molecular design to experimental validation. Together, we are going to build advanced prototypes, technologies, and toolsets that can advance how people interact with their surroundings. We invite you to join us as we work to bring these technologies from

### Software Architect - Turing
- Location: New York, New York, United States (unspecified)
- Salary: $220K-$250K
- Posted: 2026-04-30
- Apply: https://job-boards.greenhouse.io/turing/jobs/5984688004
- Excerpt: Software Architect New York, New York, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Position Overview We're looking for an Engineering Lead / Architect who can own the technical direction of a complex platform modernization while staying hands-on enough to validate that direction through real delivery. This role sits at the intersection of architecture, engineering leadership, and execution-setting the runway for how we build, integrate, and evolve systems. You'll define integration strategy, establish non-functional requirements, maintain the architecture decision log (ADRs), and ensure the team builds on patterns that hold up at scale. You'll also be the technical conscience of the program-helping the team make pragmatic tradeoffs without accumulating hidden debt. What You'll Do - Own the architecture runway: define integration patterns, NFRs, security posture, and technical standards that the team builds against. - Maintain and evolve the technical decision log (ADRs)-capturing context, alternatives considered, and rationale so decisions

### Senior Scientist/Associate Principal Scientist, AI - AstraZeneca
- Location: Beijing Yizhuang (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Beijing-Yizhuang/Senior-Scientist-Associate-Principal-Scientist--AI_R-250466
- Excerpt: Senior Scientist/Associate Principal Scientist, AI Beijing Yizhuang posted: Posted 30+ Days Ago

### World Model Research Scientist- Physical AI - Kodiak Sciences
- Location: Mountain View, CA (unspecified)
- Salary: $190K-$250K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/kodiak/jobs/4203253009
- Excerpt: World Model Research Scientist- Physical AI Mountain View, CA Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is building AI that doesn't just perceive the world, it learns how the physics of the world works. We are developing large-scale generative world models that learn to predict realistic, physically consistent futures from real-world sensor data. This capability serves as the foundation for scalable closed-loop training, validation, and long-tail scenario generation, and is distilled into the onboard models that drive our autonomous trucks. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text. In this role, you will: Design and train generative world models that synthesize realistic multi-camera video and LiDAR conditioned on ego trajectories, 3D scene context, and text Research and implement conditional diffusion architectures for driving, including spatiotemporal attention, latent space design, and

### Sr. Applied Science , AWS Agentic AI - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $192K-$260K
- Posted: 2026-05-22
- 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/10428526/sr-applied-science-aws-agentic-ai
- Excerpt: Sr. Applied Science , AWS Agentic AI Santa Clara, California, USA Come join the AWS AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. About the team Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs

### Senior AI Solutions Engineer - Software Engineering - Turing
- Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States (unspecified)
- Salary: $260K-$320K
- Posted: 2026-04-30
- Apply: https://job-boards.greenhouse.io/turing/jobs/5985543004
- Excerpt: Senior AI Solutions Engineer - Software Engineering New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Department : Field Engineering - Pre-Sales (Founding) Level: Senior (Staff level considered for exceptional candidates) Domain: Software Engineering (SWE) Location: Strong preference for SF Bay Area but will consider Seattle and NYC. Reports to: CRO (until VP, Field Engineering is hired) Compensation: OTE $260,000 - 320,000 (Senior) or $325,000 - 400,000 (Staff) · 75/25 base/variable split · Equity The Role You will be the first technical partner to Turing's Research Partners selling and demoing custom and off-the-shelf human expert datasets into the frontier AI labs in the software engineering domain. Every major lab is racing to push the frontier on code generation, agentic software engineering, and SWE evaluation. They buy datasets, benchmarks, graders, and expert human expertise from Turing to train,

### 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

### Senior Software Engineer - AI Engineering - Mercury
- Location: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States (remote)
- Salary: CAD 157K-207K
- Posted: 2026-04-06
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- Apply: https://job-boards.greenhouse.io/mercury/jobs/5850044004
- Excerpt: Senior Software Engineer - AI Engineering San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States In 1600, William Gilbert published De Magnete -the first systematic study of magnetism. He didn't just theorize; he built instruments, ran experiments, and shared what he learned so that others could go further. Three centuries later, those foundations helped power the modern world. At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries-building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context, and shared capability. The goal is a multiplier effect-where the most ambitious AI work inside Mercury lifts the velocity of everyone else. What you'll do You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion , and to help partner teams adopt it. Extend the AI platform foundation - Build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers. - Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams. - Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely. Strengthen the shared company knowledge layer - Shape and maintain structured context artifacts-clean, reliable, agent-consumable-so LLMs working

### Compiler Engineer - AI Inference - NVIDIA Corporation
- Location: US, CA, Santa Clara (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/AI-Compiler-Engineer_JR2014497-1
- Excerpt: Compiler Engineer - AI Inference US, CA, Santa Clara posted: Posted 30+ Days Ago

### Machine Learning and AI Specialist-Associate Principal Scientist - AstraZeneca
- Location: Beijing Yizhuang (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Beijing-Yizhuang/Machine-Learning-and-AI-Specialist-Associate-Principal-Scientist_R-247390
- Excerpt: Machine Learning and AI Specialist-Associate Principal Scientist Beijing Yizhuang posted: Posted 30+ Days Ago

### AI Engineer / Research Scientist (Senior, Staff), Explainable AI - Seekr
- Location: Austin, Texas, United States; Reston, Virginia, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-28
- Parental leave: 0 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.seekr.com/careers/?gh_jid=4689899005
- Excerpt: AI Engineer / Research Scientist (Senior, Staff), Explainable AI Austin, Texas, United States; Reston, Virginia, United States Seekr's Mission: Seekr builds trusted AI for mission-critical decisions. Our platform helps organizations build, govern, and deploy secure, explainable AI rooted in their own data across cloud, on-premises, edge, and air-gapped environments. We care deeply about transparency, auditability, and defensibility because high-stakes AI is only useful when people can understand and trust how it behaves. About the Opportunity: The first wave of AI was about scale. The frontier now is reliable AI: systems that are not only capable, but understandable, testable, and dependable in real decisions. At Seekr, explainability is not a reporting layer added after deployment; it is a core product and research problem spanning attribution and interpretability, observability, and contestability. This role sits directly in that high-impact space, helping turn state-of-the-art ideas into production capabilities customers can trust. We are open to candidates from either research scientist or engineering backgrounds. Success in this role requires strength in one domain, and working proficiency in the other. What You'll Do: - Design and build explainability capabilities that help users understand why a model or agent produced a given output and what training data, retrieved documents, tools, agent interactions, or internal model mechanisms influenced that result. - Design and build contestability capabilities that enable users to challenge AI outputs, capture corrective feedback, and turn contested results into data that improves systems over time. - Work on adjacent high-impact areas such as hallucination detection and

### Applied Scientist, Alexa Smart Home - Amazon
- Location: Vancouver, British Columbia, CAN (unspecified)
- Salary: CAD 149K-249K
- Posted: 2026-06-09
- 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/10444145/applied-scientist-alexa-smart-home
- Excerpt: Applied Scientist, Alexa Smart Home Vancouver, British Columbia, CAN Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You'll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Key job responsibilities Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work. For more information on the Amazon Science community please visit https://www.amazon.science. Basic Qualifications: - 3+ years of building

### AI Scientist - Audio - Mistral AI
- Location: Paris (unspecified)
- Salary: Not disclosed
- Posted: 2025-09-17
- Apply: https://jobs.lever.co/mistral/94173e13-3050-4044-862a-e8dfc2deda5e
- Excerpt: AI Scientist - Audio Paris About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel methods to push the frontier of large language models *Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech) *Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale *Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you * An expert in speech input/output methodologies (specific to audio) *You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java) *You have hands-on

### Machine Learning Scientist (All Levels) - Abridge
- Location: SF Office, San Francisco, California, USA, NYC Office (unspecified)
- Salary: Not disclosed
- Posted: 2025-07-11
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Apply: https://jobs.ashbyhq.com/abridge/097490e8-48c6-46e3-a0ce-882151fb4fa2
- Excerpt: Machine Learning Scientist (All Levels) SF Office, San Francisco, California, USA, NYC Office About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to

### Senior AI Backend Engineer - Owkin
- Location: UK, United Kingdom, Germany, Paris (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-19
- Apply: https://jobs.ashbyhq.com/owkin/d314cf82-cfdc-4dd6-b0a3-121d70f8ee5f
- Excerpt: Senior AI Backend Engineer UK, United Kingdom, Germany, Paris About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Please submit your CV in English This position is remote and based in the UK or Germany. About the role: As a Senior AI Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data. This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack. If you love building and refining a dynamic product, this role is for you. Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members. In particular, you will: - Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists. - Design, build, and maintain scalable, reliable AI systems. - Drive technical

### Senior Data Scientist, Machine Learning Engineer - Shelf
- Location: Poland; Lviv, Ukraine; Europe (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://shelf.io/careers/listing/?gh_jid=5668970004
- Excerpt: Senior Data Scientist, Machine Learning Engineer Poland; Lviv, Ukraine; Europe About Shelf The enterprise is going agentic - but most AI agents fail when they hit real business complexity. Shelf is changing that. We've built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don't just respond - they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale. Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20-25%, and turn hours-long processes into seconds. We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach. If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you're in the right place. Our mission is to empower humanity with better answers everywhere. Summary The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features-from problem framing and experimentation to service deployment, and ongoing operations-quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

### Senior Applied Researcher, AI Agentic Systems - NVIDIA Corporation
- Location: Israel, Tel Aviv (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Tel-Aviv/Senior-Applied-Researcher--AI-Agentic-Systems_JR2016502
- Excerpt: Senior Applied Researcher, AI Agentic Systems Israel, Tel Aviv posted: Posted 30+ Days Ago

### Applied Scientist, Agentic Automated Reasoning Group - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $143K-$193K
- Posted: 2026-05-28
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/10433609/applied-scientist-agentic-automated-reasoning-group
- Excerpt: Applied Scientist, Agentic Automated Reasoning Group Seattle, Washington, USA The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools-fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative. The Automated Reasoning checks team is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning, GenAI, and Agentic AI at cloud computing scale. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills and own the delivery of high-quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As an Applied Scientist in the Agentic Automated

### AI Engineer - Python - Abbott Laboratories
- Location: Spain - Barcelona (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/Spain---Barcelona/AI-Engineer---Python_31142541
- Excerpt: AI Engineer - Python Spain - Barcelona posted: Posted 30+ Days Ago

### Senior/Staff AI Algorithms Engineer - Dexterity
- Location: Redwood City (unspecified)
- Salary: $170K-$225K
- Posted: 2025-06-09
- Apply: https://jobs.lever.co/dexterity/ecdf1193-7946-4345-95be-3c1453d15a94
- Excerpt: Senior/Staff AI Algorithms Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role We're looking for an Senior/Staff AI Algorithms Engineer with deep foundations in machine learning, reinforcement learning, and optimization-and a strong drive to apply those skills to novel, high-impact problems in robotics. You will leverage techniques from machine learning, reinforcement learning, search, and optimization to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in reinforcement

### Applied AI Scientist - Multimodal Intelligence - Apple
- Location: Seattle, United States of America (unspecified)
- Salary: $172K-$302K
- Posted: 2025-12-11
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200636336/applied-ai-scientist-multimodal-intelligence?team=MLAI
- Excerpt: Applied AI Scientist - Multimodal Intelligence Seattle, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative

### Physics 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/4577608101
- Excerpt: Physics Specialist - Freelance AI Trainer Project United States of America Are you a physics 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 physics specialists who live and breathe classical mechanics, electromagnetism, quantum physics, statistical mechanics, relativity, thermodynamics, condensed matter, particle physics, nuclear physics, astrophysics, and computational physics. You'll challenge advanced language models on topics like Schrödinger equations, Maxwell's laws, quantum field theory, thermodynamic cycles, Lagrangian mechanics, cosmological models, and numerical simulations-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on problem-solving strategies and theoretical physics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in physics or a closely related physical science field is ideal; peer‑reviewed publications, laboratory or theoretical research, or hands‑on computational modeling projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your physics 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

### Principal Applied Scientist, Console Science - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $229K-$309K
- Posted: 2025-07-21
- 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)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3039349/principal-applied-scientist-console-science
- Excerpt: Principal Applied Scientist, Console Science Santa Clara, California, USA We are looking for passionate, talented, and inventive Principal Applied Scientist with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. A day in the life The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you. Basic Qualifications: - PhD and 8+ years of CS, CE, ML or related field experience - 8+ years of building models

### Postdoctoral Scientist, Amazon Robotics Research and AI Development - Amazon
- Location: North Reading, Massachusetts, USA (unspecified)
- Salary: $143K-$193K
- Posted: 2026-04-16
- 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/3117815/postdoctoral-scientist-amazon-robotics-research-and-ai-development
- Excerpt: Postdoctoral Scientist, Amazon Robotics Research and AI Development North Reading, Massachusetts, USA Amazon is looking for talented Postdoctoral Scientists to join the Research and AI Development team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will innovate in the areas of multi-agent path planning, dynamic optimal transport (OT), and explainable AI (X-AI) for DeepFleet Foundation Models. They will have the opportunity to develop optimal and scalable solutions for the world's largest fleet of mobile robots, in addition to developing interpretability techniques for the DeepFleet FMs. At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, and probabilistic modeling at scale to enhance customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent new techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers. Key job responsibilities In this role you will: -Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's diverse global science community. -Publish your innovation in top-tier academic venues and hone your presentation skills. -Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise. A day in the life On a typical day in this role, you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists

### Senior / Engineer II, AI Lab Research Engineer - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $148K-$240K
- Posted: 2025-10-06
- Learning budget: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4029507009
- Excerpt: Senior / Engineer II, AI Lab Research Engineer Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply. What You'll Be Building - Agentic AI for science: Systems that perform sequential decision‑making and multi‑step reasoning to solve domain‑specific problems. - Workflow/code generation: From natural language intent to typed, executable steps for lab instruments. - Evaluation & reliability: Benchmarks, test suites, and telemetry to measure capability and quantify progress toward scientific goals. What You'll Need to Succeed - PhD or Masters in a quantitative discipline (e.g.,

### Coding Specialist (Fluent in Russian) - Freelance AI Trainer Project - Agency
- Location: Poland (unspecified)
- Salary: $8-$8/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4607003101
- Excerpt: Coding Specialist (Fluent in Russian) - Freelance AI Trainer Project Poland Are you a coding expert fluent in Russian 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 software development for engineers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for coding specialists who live and breathe algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming-and who can do so fluently in Russian. You'll challenge advanced language models on topics like asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on software engineering tasks and technical scenarios in Russian, verify logical accuracy and coding fluency, assess naturalness and correctness of Russian language usage, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in computer science, software engineering, or a closely related technical field is ideal; real-world coding experience, technical writing in Russian, or open-source contributions signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your coding and Russian language expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will

### Applied AI/ML Scientist - Cerebras Systems
- Location: UAE (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-14
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7588502003
- Excerpt: Applied AI/ML Scientist UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives. We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those

### Senior AI Software Engineer, Kernel Libraries - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Software-Engineer--Kernel-Libraries_JR2014705
- Excerpt: Senior AI Software Engineer, Kernel Libraries 2 Locations posted: Posted 10 Days Ago

### Senior AI/ML Scientist, Planetary Science - Relativity
- Location: Long Beach, California (unspecified)
- Salary: $154K-$211K
- Posted: 2026-05-22
- Apply: https://boards.greenhouse.io/relativity/jobs/8561397002?gh_jid=8561397002
- Excerpt: Senior AI/ML Scientist, Planetary Science Long Beach, California At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Interplanetary Sciences Program was established to expand access to scientific exploration across our Solar System, with the mission to push the boundaries of how planetary science is done, and make planetary research faster, more affordable, and more capable than

### Staff Research Engineer - Code - Turing
- Location: San Francisco, California, United States (unspecified)
- Salary: $250K-$350K
- Posted: 2026-03-09
- Apply: https://job-boards.greenhouse.io/turing/jobs/5822280004
- Excerpt: Staff Research Engineer - Code San Francisco, California, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: - Environments for Software Engineering / coding agents - UI-Environments for Computer-Use/Browser-Use agents - MCP-based Environments for general function-calling agents across various enterprise and consumer applications The Staff Research Engineer - Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical

### AI Research Scientist, Audio-Visual Understanding, FAIR - Meta
- Location: Menlo Park, CA; New York, NY; San Francisco, CA (unspecified)
- Salary: $154K-$217K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://www.metacareers.com/jobs/939282615434416/
- Excerpt: AI Research Scientist, Audio-Visual Understanding, FAIR Menlo Park, CA; New York, NY; San Francisco, CA Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant advances in AI. Our organization is driven by advancing the science of intelligence and developing technology toward achieving superintelligence. We are seeking researchers with experience in computer vision, speech and multimodal learning to join our team and help build the perceptual foundations for real-time embodied conversational agents. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, resources, and research facilities. Responsibilities: - Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception - Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs - Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions - Train and optimize state-of-the-art machine learning and neural network methodologies - Conduct and collaborate on research projects within a globally-based team Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - A PhD in AI, computer science, data science, or related technical fields - Experience holding an industry, postdoctoral, faculty, or government researcher position - Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas - Research publications reflecting experience in theoretical or empirical research -

### Automation Engineer - Workflow and AI Agents - Kaufman Rossin
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-09
- 401(k) match: listed (not source-backed)
- Apply: https://apply.workable.com/j/36870339B1
- Excerpt: Automation Engineer - Workflow and AI Agents

### ASIC Architect - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7753254003
- Excerpt: ASIC Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering - 10+ years of experience across performance analysis and modeling across

### AI Scientist - Entrepreneur in Residence - Solana
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://jobs.solana.com/companies/molecule-2-7e5b135d-da2a-4010-8aed-f55aaa6a1dbc/jobs/82248210-ai-scientist-entrepreneur-in-residence#content
- Excerpt: AI Scientist - Entrepreneur in Residence AI Scientist - Entrepreneur in Residence

### AI Engineer - Platform & Assistant - Build A BEAR Workshop
- Location: San Francisco | [OnSite] (onsite)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://jobs.ashbyhq.com/build/fa3959af-f28e-4127-8bea-29ee207bf274
- Excerpt: AI Engineer - Platform & Assistant San Francisco | [OnSite]

### Research Engineer, Interpretability - Anthropic
- Location: San Francisco, CA (unspecified)
- Salary: $315K-$560K
- Posted: 2025-11-07
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/4980430008
- Excerpt: Research Engineer, Interpretability San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: - Our research blog - covering advances including Monosemantic Features and Circuits - An Introduction to Interpretability from our research lead, Chris Olah - The Urgency of Interpretability from CEO Dario Amodei - Engineering Challenges Scaling Interpretability - directly relevant to this role - 60 Minutes segment - Around 8:07, see a demo of tooling our team built - New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven't worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: - Pretraining: Training dictionary learning models looks a

### Staff + Senior Software Engineer, Inference - Anthropic
- Location: San Francisco, CA | New York City, NY | Seattle, WA (unspecified)
- Salary: $320K-$485K
- Posted: 2026-06-08
- Apply: https://job-boards.greenhouse.io/anthropic/jobs/5245851008
- Excerpt: Staff + Senior Software Engineer, Inference San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators - Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to

### AI Machine Learning Scientist - Elevance Health, Inc.
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://elevancehealth.wd1.myworkdayjobs.com/ANT/job/VA-RICHMOND-2015-STAPLES-MILL-RD/AI-Machine-Learning-Scientist_JR190990
- Excerpt: AI Machine Learning Scientist 4 Locations posted: Posted 2 Days Ago

### AI/ML Scientist, Planetary Science - Relativity
- Location: Long Beach, California (unspecified)
- Salary: $115K-$158K
- Posted: 2026-05-22
- Apply: https://boards.greenhouse.io/relativity/jobs/8561541002?gh_jid=8561541002
- Excerpt: AI/ML Scientist, Planetary Science Long Beach, California At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Interplanetary Sciences Program was established to expand access to scientific exploration across our Solar System, with the mission to push the boundaries of how planetary science is done, and make planetary research faster, more affordable, and more capable than ever

### Senior AI Researcher - NVIDIA Corporation
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-AI-Engineer--World-Foundation-Models---2_JR2017491
- Excerpt: Senior AI Researcher 3 Locations posted: Posted 4 Days Ago

### Data Scientist - Agentic AI / ML - Applied Materials
- Location: Santa Clara,CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://amat.wd1.myworkdayjobs.com/External/job/Santa-ClaraCA/Data-Scientist---Agentic-AI---ML_R2621700
- Excerpt: Data Scientist - Agentic AI / ML Santa Clara,CA posted: Posted 2 Days Ago

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Source-backed benefit claims include source links; other benefit values are labeled separately.