93 deep learning scientist jobs at 40 companies in Hercules, CA
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Senior Deep Learning Scientist, Multimodal Agentic RL
Santa Clara or United States
$184k-$288k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOEMaster's or PhD in CS/AI/Applied Math with 8+ years experience, strong Python and PyTorch skills, deep learning and RL expertise, multimodal research and model lifecycle experience.
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
Albertsons CompaniesNew York Stock Exchange: ACI: Operates supermarkets and pharmacies across the United States.
Lead deep learning and data science efforts, develop models, and provide technical leadership; specific responsibilities and qualifications provided by hiring team.
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.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
2+ YOEMasters (with ~6+ years) or PhD (with 2+ years) in CS/ML/robotics/math; strong ML and software fundamentals; production ML experience; fluency in Python and a deep-learning framework (PyTorch); experience with large-scale data and foundation-model workflows.
Python, PyTorch, turbopuffer, Milvus, Ray Data, Daft, Spark, Lance, Iceberg
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.
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.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
5+ YOESenior data scientist with expertise in ML (deep learning, RL, NLP), distributed computing (Spark/Hadoop), Python, big-data platforms, SQL, cloud (GCP/Azure), model deployment in high-scale production, and strong leadership.
Senior research Scientist - Machine Learning Systems & Efficiency Engineer
Seattle or San Francisco or San Jose
$143k-$271k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
Master's or PhD in CS/EE or related; deep expertise in ML systems, distributed inference, GPU performance, and production deployment; proficiency in Python and C++; experience with Triton/CUDA and performance profiling.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
1+ YOEApply machine learning, deep learning, and multimodal AI to large-scale image indexing, selection, ranking, and real-time systems; experience with Big Data tooling and strong research or industry ML results.
Spark, HBase, Hadoop, Cosmos, Autopilot, Azure, Large Language Models (LLMs), Small Language Models (SLMs)
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.
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.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years building machine learning models; PhD or Master's plus 6+ years applied research; experience with neural deep learning; programming in Java, C++, or Python; experience with multimodal and vision-language models.
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