713 research scientist jobs at 166 companies in Aptos, CA
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Research Scientist
San Jose or Santa Barbara
$150k-$350k/yrOnsiteFull Time
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
Degree in CS/ML/EE or equivalent research experience; deep expertise in large language models, deep learning and AI agent architectures; experience with large-scale model training and productionizing research; strong Python and ML framework skills.
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.
Parallel: Build web infrastructure and search APIs for AI agents.
Deep intuition on modern models and training; expertise in transformer, search, and recommendation model interactions; focus on applied research that can be productized at scale.
Galvanize Therapeutics: Developer of pulsed electric field energy medical devices.
4+ YOEMS or higher in biological sciences or biomedical engineering, 4+ years research experience, expertise in in vitro/in vivo methods (ELISA, microscopy, flow cytometry), ability to lift up to 70 lbs, local travel ~30%.
ELISA, fluorescent microscopy, flow cytometry, Pulsed Electric Field Systems
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
PhD in a quantitative field, extensive experience in ML/deep learning and generative models, strong publication record, and software engineering skills (Python); ability to lead research and collaborate cross-functionally.
LVIS: AI software for diagnosing and treating neurological brain disorders.
5+ YOEPhD in EE/CS/Math/Physics/Statistics,5+ years time-series and signal processing experience,proficient in Python with PyTorch/SciPy/Numpy,ML/DL expertise,algorithm development and strong communication.
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.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
Ph.D. in physics/materials science/EE or related; background in semiconductor physics, optics, light–matter interactions, vacuum equipment, materials characterization; experienced with optical test benches and simulations (Zemax, COMSOL, Lumerical); strong collaboration and communication skills.
Hampton or Greenbelt or Huntsville or Dallas or Houston or Denver or Mountain View or Edwards Air Force Base
$90k-$125k/yrOnsiteFull Time
Analytical Mechanics Associates: Provides aerospace engineering and technical services for space missions.
5+ YOEBachelor's in Physics/Atmospheric Science, 5+ years with satellite/airborne/ground atmospheric datasets, expertise in atmospheric processes, scientific programming (Python/MATLAB/IDL), data/time-series analysis, and strong communication skills.
Python, MATLAB, IDL, LaTeX, Microsoft Word, NetCDF, HDF
Granica: Provides an AI efficiency platform for optimizing enterprise training data.
PhD in ML/statistics/applied math or related field; strong generative ML research record; experience with diffusion models; hands-on PyTorch or JAX and Python; ability to turn research into production systems.
TrueMeter: AI-powered platform for commercial energy savings and bill management.
Research experience, model training experience, Python fluency, and a master's degree or higher in machine learning or a related field. Strong ownership and comfort with ambiguity required.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
PhD-level research background in machine learning/AI or related fields, first‑author peer-reviewed publications, strong software and experiment skills, experience with Python and PyTorch.
Voltai: Building AI world models and agents for semiconductor design.
5+ YOE5+ years research experience in formal methods, theorem proving, model checking, program analysis; experience with JasperGold or VC Formal, SVA, assertion synthesis, equivalence checking.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Bachelor’s degree or equivalent experience in a biological science field, molecular biology techniques, bacterial culture, recombinant protein expression and purification, analytical problem-solving, and collaborative research skills.
PCR, Gibson Assembly, Golden Gate Assembly, Bash, ZSH, R, Python
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Senior researcher passionate about solving real-world health problems using machine learning and health science in a highly technical research environment.
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
Deep ML research experience, strong track record of novel contributions, ability to run experiments at scale, clinical collaboration experience, and familiarity with healthcare validation and external evaluation.
Research Scientist, ByteBrain Infrastructure Operation
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Proven research track record with publications; deep expertise in AI/ML or operations research; strong coding and large-scale algorithm development; excellent communication and collaboration skills.
Wayve: Develops AI software for autonomous vehicle navigation.
Machine learning research experience, scalable training, strong coding, top-tier publications, rigorous experimentation, and translating research into working or deployed systems; robotics experience preferred.
Mountain View or San Francisco or Kirkland or New York City
$213k-$263k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
2+ YOEMasters or PhD in CS/ML/Robotics, 2+ years industry or post-doc research experience in reinforcement learning or foundation models, strong publication record, experience with distributed training (Data parallel, FSDP), and scalable model evaluation and data pipelines.