66 deep learning scientist jobs at 38 companies in Fairfax, CA
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Learning Scientist
Mountain View, California, United States
OnsiteFull Time
AI Fund: Builds and invests in artificial intelligence startups.
Requires deep learning-science knowledge, experimental design and statistics skills, human-subjects research experience, Python or R fluency, and strong communication. PhD or equivalent research experience preferred.
Calico: Researching aging biology to develop longevity-improving therapies.
5+ YOEPhD in computational biology, bioinformatics, computer science, or related field; strong publication record; 0-5 years (Scientist) or 5+ years (Senior Scientist) in industry or academia; deep ML expertise; genomics knowledge; onsite four days/week.
Python, TensorFlow, PyTorch, Genomics data, DNA sequence analysis
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.
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.
Ph.D. in a quantitative discipline, deep expertise in deep learning and foundation models, experience deploying large-scale AI, strong programming and collaboration 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.
Extropic: Developing thermodynamic computing hardware for energy-efficient AI.
Expertise in scientific Python and a deep learning framework, strong probability and linear algebra, publications in top ML venues, experience with training/deploying high-performance models and related infrastructure.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
Requires deep causal inference, econometrics, experimentation, or causal ML experience; production ML engineering ability; rigorous model evaluation; and cross-functional product and technical judgment.
San Francisco or Sunnyvale or Los Angeles or Seattle or New York City
$204k-$299k/yrOnsiteFull Time
DoorDashNASDAQ: DASH: On-demand delivery platform connecting consumers with local merchants.
Requires deep practical causal inference, econometrics, experimentation, or causal ML experience; production ML engineering; rigorous model evaluation; and cross-functional product and marketplace decision-making skills.
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).
Research Scientist, Gen AI & User Representation Learning
Palo Alto, California, United States
$100k-$130k/yrRemoteFull Time
Predactiv: AI platform for real-time behavioral data and audience activation.
5+ YOEPhD (or near completion) in CS/ML or equivalent experience; strong background in deep learning, representation learning, transformers, generative models; experience with PyTorch/Python and large-scale GPU training; 5+ years preferred.
Scientist II / Senior ML Scientist, Cofolding and Structure-Aware ML
Cambridge or London or San Francisco
$228k-$358k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD or equivalent experience in ML/computational biology/chemistry; hands-on deep learning for molecular and protein structure; experience with contrastive/self-supervised methods and DEL or related datasets; practical PyTorch or JAX experience.
ML Research Scientist (Embodied AI & Reinforcement Learning)
Palo Alto, California, United States
$175k-$250k/yrOnsiteFull Time
Metamorphic: Building AI foundation models using large-scale experimental neuroscience.
PhD or equivalent research experience in ML/robotics/CS/neuroscience, strong publication/technical track record in RL/embodied AI, deep learning and large-scale training expertise, proficiency in Python, simulation and policy evaluation experience.
Gilead SciencesNASDAQ: GILD: Develops and sells medicines for life-threatening infectious diseases.
2+ YOEPhD in a quantitative field with 2+ years' experience; strong Python and deep learning framework proficiency (PyTorch and/or JAX); experience training and evaluating representation, multimodal, geometric, or generative models; knowledge of protein structure and antibody biophysics.
Gilead SciencesNASDAQ: GILD: Develops and sells medicines for life-threatening infectious diseases.
2+ YOEPhD in a quantitative discipline with 2+ years experience; proficiency in Python, deep learning (PyTorch/JAX), NumPy, pandas; experience architecting and evaluating deep learning models; knowledge of protein structure and antibody biophysics; demonstrated research productivity.
Albertsons CompaniesNew York Stock Exchange: ACI: Operates supermarkets and pharmacies across the United States.
12+ YOE12+ years developing production machine learning solutions, 8+ years leading advanced deep learning, and expert proficiency in Python, PyTorch or TensorFlow, distributed ML, graph learning, and AI platforms.
Engram: Developing persistent memory layers for enterprise AI systems.
Deep ML background with research track record; expertise in continual learning, memory architectures, parameter-efficient fine-tuning, retrieval, synthetic data, or agents; strong systems understanding and technical communication.
World Labs: Building foundational AI models to perceive and simulate 3D worlds.
6+ YOE6+ years in robot learning or manipulation, strong robotics and sim-to-real expertise, experience with policy design, Python/C++ and deep learning (PyTorch), ability to productionize training pipelines.
HyperfineNasdaq: HYPR: Develops and sells portable MRI brain imaging systems.
2+ YOEPhD in a relevant field or MS with 2+ years applied experience; expertise in computer vision, medical image analysis, machine learning, deep learning, medical/MR images, Python, PyTorch, or TensorFlow.
MongoDBNASDAQ: MDB: Cloud-based document database platform for software application development.
PhD in Computer Science or related field; strong background in machine learning, deep learning, and natural language processing; experience with distributed neural network training.
Distributed training, Python, Machine Learning, Natural Language Processing, Deep Learning