401 deep learning engineer jobs at 120 companies in El Cerrito, CA
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Deep Learning Engineer
Palo Alto, California, United States
$170k-$300k/yrOnsiteFull Time
Matroid: Platform for training and deploying custom computer vision detectors.
3+ YOEMaster's or equivalent, 3+ years industry/academic experience in software, deep learning and computer vision; strong software engineering, communication, and research skills.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
15+ YOE15+ years deep learning and systems experience; proficiency in Python and C++; strong computer architecture and GPU/parallel datacenter computing knowledge; performance analysis and tuning experience.
Imagry: Mapless autonomous driving software for vehicle manufacturers.
3+ YOEMSc (or equivalent experience) in quantitative field, 3+ years developing deep learning algorithms, strong computer vision and math skills, PyTorch and Python proficiency, English fluency, eligible to work in the US.
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.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOE15+ years in deep learning and systems design; proficiency in Python and C++; strong understanding of computer architecture and GPU/parallel datacenter computing; experience in performance analysis and modeling.
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
BS, MS, or PhD in CS, EE, Robotics, or related field; deep RL and deep learning expertise; large-scale RL training; JAX or similar framework; GPU simulation and software development experience.
JAX, Claude Code, Codex, Cursor, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
2+ YOEMaster's in CS or 2+ years industry experience; strong ML/DL expertise, data processing, algorithms, C++ and Python; experience with model deployment and optimization for real-time systems.
Quadric: Designing licensable processor IP for on-device AI inference.
0+ YOEBachelor's/Master's/PhD in CS/EE or related field; Python and C++ proficiency; compiler concepts; ability to read large codebases; strong debugging and communication skills.
Python, C++, ONNX, Relay IR, GPNPU, compiler passes, IR transformations, TVM, MLIR, XLA, Glow, IREE
Deep Learning Research Intern — Multimodal BEV Perception
Santa Clara, California, United States
$19-$65/hrOnsiteInternship
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
Pursuing a master's or doctoral degree in AI, computer science, electrical engineering, robotics, or related field; Python, deep learning, computer vision, 3D geometry, and PyTorch, TensorFlow, or JAX experience required.
Bardeen: AI-powered platform for automating browser-based workflows and tasks.
1+ YOEMaster's in computational science and engineering or related machine learning field plus 1 year of experience with deep learning, LLMs, Python, cloud infrastructure, evaluation, monitoring, and distributed inference.
MaxInsights: Provides robot data collection for physical AI development.
3+ YOE3+ years building and shipping ML systems, proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow), experience with training/evaluation/deployment and production ML pipelines.
Wayve: Develops AI software for autonomous vehicle navigation.
Shipping deep learning systems to production; expert in deep learning; proficient in Python, C++, CUDA, and PyTorch; experience with real-time or robotics; strong leadership and collaboration.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
Gritt Robotics: Developing autonomous robots to automate outdoor construction tasks.
Pursuing MS/PhD (exceptional undergraduates considered), strong PyTorch and deep learning skills, experience in IL/RL, publications or substantial projects, ability to own end-to-end projects, and legal authorization to intern in the U.S.
Apptronik: Designs and manufactures humanoid robots for industrial automation.
3+ YOEMS/PhD in CS/Robotics/Computer Engineering, 3+ years building and shipping perception or SLAM systems, expertise in SLAM/VIO/state estimation, deep learning for vision, multi-sensor fusion, Python and modern C++ experience, and edge deployment experience.
Wayve: Develops end-to-end artificial intelligence for autonomous driving systems.
5+ YOE5+ years ML engineering experience, shipping deep learning models in production; proficiency in Python and PyTorch; experience with computer vision, foundation models, benchmarking, and cross-functional technical leadership.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology for passenger and freight transportation.
2+ YOEMaster in CS or 2+ years in ML/DL; strong data structures/algorithms; ML/DL data collection, evaluation, feature engineering; C++/Python; good communication.
CoupangNYSE: CPNG: Provides online retail, grocery delivery, and video streaming services.
4+ YOEBachelor's in CS or related, 4+ years applied ML experience, proficiency in ML/deep learning, production ML systems, Python/Java; experience with search, LLMs, embeddings preferred.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
Master’s degree in mathematics, statistics, or related field; machine learning experience with Python, SQL, deep learning, NLP, statistical analysis, visualization, Unix, Bash, Git, and interactive notebooks.
Python, NumPy, PyTorch, SQL, Google BigQuery, HiveQL, Jupyter Notebooks, Google Colab, Microsoft Excel, Unix, Bash, Git