87 deep learning researcher jobs at 47 companies in Fairfield, CA
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Deep Learning Engineer
San Francisco, California, United States
$162k-$175k/yrHybridFull Time
Hayden AI: Mobile vision AI systems for automated traffic enforcement.
1+ YOE1-2 years building and deploying ML perception models in production; Bachelors or Masters in Computer Science or related; hands-on PyTorch and Python; cloud experience (AWS/GCP/Azure); familiarity with MLOps, NVIDIA edge stack and CUDA.
Bot Auto: Operates a fleet of autonomous trucks for freight transportation.
Advanced degree in CS/engineering/robotics/math/physics; deep expertise in machine learning and computer vision, transformers and SOTA techniques; familiarity with PyTorch and TensorFlow; independent and collaborative researcher.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
Pursuing a Masters or PhD in CS/ML/Robotics, strong deep learning background, research and large-scale data experience, proficiency in Python and C++, and experience with model design, training and evaluation.
Ivo: AI-powered contract review and intelligence platform for legal teams.
PhD or equivalent industry research experience in quantitative field; deep hands-on LLM and deep learning research; strong communication and shipping-oriented mindset.
New York City or San Francisco or San Jose or Cambridge or McLean
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
2+ YOEPhD or master's degree plus 2 years applied research experience in a relevant field; expertise building and scaling deep learning models, AI foundation models, and machine learning research solutions.
San Jose or New York City or Cambridge or McLean or San Francisco
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
2+ YOEPhD in a relevant technical field, or MS plus 2 years of applied research experience; expertise in AI, deep learning, model development, research, and scalable production systems.
San Jose or San Francisco or McLean or Cambridge or New York City
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEPhD (or MS+2yrs) in CS/EE/AI/Math or related, experience building large deep learning models and publishing research, ability to deliver models at scale and own research agenda.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Recent PhD in a relevant field, explainable AI research experience, publications, deep learning with PyTorch or JAX, and scientific programming in Python. Must be eligible under NDAA Section 3112.
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience in deep learning and transformer models, proficiency with PyTorch or TensorFlow, strong software engineering, data structures and algorithms, designing and deploying misuse safeguards, and testing/red-teaming mitigation stacks.
Tacit: Developing advanced hardware to rethink human-computer interaction.
PhD or equivalent experience in ML/computational neuroscience, expertise in deep learning, proficiency in PyTorch/TensorFlow and Python, experience deploying models, strong communication and collaboration skills.
PinterestNYSE: PINS: Visual discovery engine for finding and saving ideas.
Experience building computer vision models, multimodal representations, large-scale model training, and modern deep learning frameworks. Requires research contributions or production ML experience, collaboration skills, and an M.S. or PhD or equivalent experience.
FreenomeNASDAQ: FRNM: Develops blood tests for early cancer detection using machine learning.
6+ YOEPhD in quantitative field with 6+ years post-PhD industry/postdoc experience in applied ML/DL; demonstrated publications or impact; proficiency in Python/R/C/C++/Java; experience with deep learning, supervised/self-supervised/contrastive learning.
ML Research Scientist (MLRS) - Representation Learning for Molecular AI
San Francisco or New York City
$165k-$259k/yrHybridFull Time
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry post-degree ML research experience, proficiency in Python and modern ML frameworks (PyTorch, JAX), experience with 3D geometric deep learning and large-scale ML experiments, strong communication and research impact (publications or talks).
Waymo: Autonomous driving technology for ride-hailing and logistics.
5+ YOEBachelor's/Master's/PhD in CS/ML/robotics, 5+ years ML engineering/applied deep learning experience, proficiency in Python and JAX/Flax/PyTorch, and experience designing evaluation frameworks.
Thinking Machines: Building AI systems to extend human will and judgment.
Proficiency in Python and at least one deep learning framework, debugging distributed training, BS or equivalent in CS/ML/Physics/Math, strong communication; PhD or equivalent research experience preferred.
Ph.D. in a quantitative discipline, deep expertise in deep learning and foundation models, experience deploying large-scale AI, strong programming and collaboration skills.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
3+ YOE3+ years building and deploying production ML systems with deep learning, NLP, information retrieval, recommender systems; 2+ years Python; experience with PyTorch or TensorFlow, MLOps (Kubeflow, Docker/K8s), cloud (AWS/GCP), PySpark/SQL; advanced degree or strong research record preferred.
Member of Technical Staff — ML Research, Multimodal
San Francisco, California, United States
OnsiteFull Time
Causal Labs: Building physics-based causal AI models for predictive weather intelligence.
Deep ML fundamentals, experience training large-scale models, distributed training familiarity, expertise in sequence/world models, sensor fusion, generative or physics-informed models, and strong experimental/ablation skills.
RocheSIX Swiss Exchange: ROG: Develops and manufactures pharmaceutical medicines and diagnostic solutions.
PhD or equivalent in a quantitative field; deep ML expertise; hands-on quantum chemistry experience (Psi4, PySCF, ORCA, xTB); fluent in Python and PyTorch or JAX; publication record; experience building scalable ML pipelines and synthetic datasets.
Member of Technical Staff, Mechanistic Interpretability
San Francisco or Tokyo
OnsiteFull Time
Radical Numerics: Building general biological intelligence models for scientific discovery.
Strong ML research background in LLMs/representation learning, deep learning architectures (transformers), proficiency in Python and PyTorch, strong experimental and scientific judgment, excellent communication.