155 ai research scientist jobs at 70 companies in Campbell, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
2+ YOEPhD (or equivalent), 2+ years leading a research agenda, 2+ years with machine learning (LLMs, generative AI, NLP), coding in Python/JavaScript/R/Java/C++, and publication record.
San Francisco or Seattle or New York City or Austin or Chicago or London
$234k-$296k/yrHybridFull Time
Writer: Platform for building and deploying enterprise generative AI agents.
7+ YOE7+ years ML research experience with LLM pre-/post-training, strong publication record, Ph.D. or equivalent, expert in post-training methods (SFT, RLHF, RLAIF, DPO), Python and PyTorch/JAX proficiency, experience shipping production models.
ASAPP: Develops AI-powered software to automate enterprise contact center interactions.
PhD in CS/EE/Linguistics; strong research in LLMs, Conversational AI or Speech; mentoring experience; hands-on experimentation; startup experience a plus.
Senior AI Research Scientist – Foundation Models & Agentic AI
Charlotte or San Francisco or West Des Moines or Irving or Tempe or Saint Louis or Minneapolis
$139k-$260k/yrHybridFull Time
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
4+ YOEMaster's degree in a quantitative field and 4+ years quantitative analytics experience; expertise in foundation models, LLMs, agentic AI, modern ML frameworks, GPU infra, and a strong research publication/engineering record.
Edison Scientific: Developing autonomous AI agents for scientific research and discovery.
5+ YOE5+ years ML research experience; fluency in PyTorch or Jax; experience with large-scale training and tools (e.g., Ray, Megatron-LM); expertise in EDA, feature engineering, model development/deployment; strong programming skills.
Bosch: Global manufacturer of automotive and industrial engineering technology.
3+ YOEPhD in CS/Engineering or MS with 3+ years industry experience; 2+ years in foundation models; deep learning with diffusion/3D/world models; Python/C++ and AI libraries; publications in major venues; strong teamwork.
P-1 AI: Developing AI agents for industrial engineering and physical design.
Conduct research in spatial reasoning, 3D/geometric understanding, and physical reasoning; fluent in Python and ML stacks such as PyTorch or JAX; strong research/engineering record; experience with CAD/point clouds/meshes a plus.
Senior Quantum AI Research Scientist, Applied Research
Redmond or Santa Clara
$192k-$305k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOEPh.D. preferred in CS/Physics/Applied Math/EE, 8+ years in quantum computing and/or AI/ML research, deep ML and quantum error correction expertise, strong communication, experience with large-scale model training and hardware-aware models.
Chan Zuckerberg Biohub: Builds AI-powered technologies for biomedical research and disease study.
PhD in computer science or related field or equivalent experience; significant experience building scalable DL systems; strong engineering; comfort with ambiguity; strong communication.
GenBio AI: Developing AI foundation models to simulate and program biology.
PhD (or equivalent) in CS/AI/Computational Biology, proven publication record, experience translating ML research to biology, computational discovery experience, collaboration with experimental scientists, and software engineering best practices.
Mimic: Developing AI-powered dexterous robotic hands for industrial automation.
3+ YOEPhD-level background in CS/Data Science/Robotics (or equivalent), 3+ years training generative models, 4+ years Python development, project supervision experience, and fluent English.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
PhD in Computer Science/AI or related field; strong publication record; experience in Generative AI, diffusion models, large-scale model training; good communication and teamwork.