Principal Applied Scientist - CoreAI MicrosoftPrincipal Applied Scientist - CoreAIRedmond, WA$142,800–$274,800 / yearBachelors Degree in Computer Science, Computational Linguistics, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Computer Science, Computational Linguistics or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
AI Research Scientist - AI BioDesign Allen InstituteAI Research Scientist - AI BioDesignSeattle, WA$146,600–$183,250 / yearRather than primarily applying established techniques, this role focuses on methodological innovation – designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods.
AI Research Scientist Allen Institute for Brain ScienceAI Research ScientistSeattle, WA$146,600–$183,250 / yearRather than primarily applying established techniques, this role focuses on methodological innovation designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods.
Principal Applied Scientist MicrosoftPrincipal Applied ScientistRedmond, WA$142,800–$274,800 / yearBachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research).
Senior Agentic AI Research Scientist Axon Enterprise IncSenior Agentic AI Research ScientistSeattle, WA$159,750–$255,600 / yearExperience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge. PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
Senior Agentic AI Research Scientist AxonSenior Agentic AI Research ScientistSeattle, WA$159,750–$255,600 / yearExperience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge. PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
Principal Applied Scientist - Auction & Bidding MicrosoftPrincipal Applied Scientist - Auction & BiddingRedmond, WA$142,800–$274,800 / yearBachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research).
Senior Quantum AI Research Scientist, Applied Research NVIDIA CorpSenior Quantum AI Research Scientist, Applied ResearchRedmond, WAYour research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! What you'll be doing: Design and architect AI/ML models-including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents-for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
Staff AI research scientist Writer IncStaff AI research scientistSeattle, WAThe instincts and orientation that match WRITERs values: you Connect - you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge - you ask the hard questions, push back on conventional wisdom, and pursue the research directions others havent tried yet; you Own - you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and were looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
NewResearch Scientist, Robotics, Cloud AI Google LLCResearch Scientist, Robotics, Cloud AIKirkland, WAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, youll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
AI Research Scientist, Video Generation and Post Training, FAIR Meta Platforms IncAI Research Scientist, Video Generation and Post Training, FAIRSeattle, WAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities.
AI Research Scientist, New Grad - Agents & Reinforcement Learning Snowflake IncAI Research Scientist, New Grad - Agents & Reinforcement LearningBellevue, WA$176,000–$230,000 / yearYou''ll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact. OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience).
AI Research Scientist, New Grad – Agents & Reinforcement Learning SnowflakeAI Research Scientist, New Grad – Agents & Reinforcement LearningBellevue, WashingtonYou'll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact. For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production — shaping how AI agents reason, learn, and improve themselves inside the world's leading data cloud.
AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation Apple IncAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & DistillationSeattle, WAThis includes designing architectures that distill effectively, studying how teacher and student models should be trained together, and developing distillation methods that preserve reasoning, multimodal understanding, instruction following, and other important capabilities under constrained model capacity. Experience with knowledge distillation, including offline or off-policy distillation, on-policy distillation, self-distillation, sequence-level distillation, logic matching, or representation transfer.
AI Research Scientist - Agentic AI for Materials Discovery Meta Platforms IncAI Research Scientist - Agentic AI for Materials DiscoveryRedmond, WADesign, 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 at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration) Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar) Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics Experience building multi-agent or LLM-orchestrated systems for scientific applications Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries Publications at peer-reviewed ML or domain conferences Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows Experience with HPC job orchestrationMeta builds technologies that help people connect, find communities, and grow businesses. 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.
NewSenior Research Scientist, Superconducting Digital Electronics, Quantum AI Google LLCSenior Research Scientist, Superconducting Digital Electronics, Quantum AISeattle, WAYou will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families) for generating waveforms tailored to qubit control and readout.
Staff Research Scientist - Physical AI / Multimodality SnowflakeStaff Research Scientist - Physical AI / MultimodalityBellevue, WA$236,000–$339,200 / yearAS A STAFF RESEARCH SCIENTIST YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures). BONUS POINTS FOR THE FOLLOWING: Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures).
Staff Research Scientist - Physical AI / Multimodality Snowflake IncStaff Research Scientist - Physical AI / MultimodalityBellevue, WA$236,000–$339,200 / yearAS A STAFF RESEARCH SCIENTIST YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures). BONUS POINTS FOR THE FOLLOWING: Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures).
Multimodal Generative AI Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD) TikTok IncMultimodal Generative AI Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)Seattle, WAHands-on experience in at least one of the following areas: Image/video generation and editing; VLM/LLM fine-tuning; Efficient model design and optimization; Reinforcement learning methods (e.g., RLHF, DPO, GRPO). The role also involves designing efficient model architectures and advancing reinforcement learning techniques to improve model capability, scalability, and real-world performance in creation scenarios.
Staff Research Scientist, AI Agents & LLMs SnowflakeStaff Research Scientist, AI Agents & LLMsBellevue, WashingtonAt the intersection of autonomous agents and large language models (LLMs) , you will build the models and systems that turn enterprise data into self-directed, decision-making agents —shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.