172 deep learning engineer jobs at 115 companies in Fairfield, CA
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3mo
Senior Algorithm Engineer, Deep Learning & Vision
Houston or San Francisco
OnsiteFull Time
Bot Auto: Autonomous trucking operating a fleet and providing Transportation as a Service to shippers and 3PLs.
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.
Hayden AI: Private American technology building vision AI and vehicle-mounted systems for safer, more efficient city transit.
8+ YOEBachelor's in CS/related, 8+ years building and deploying ML models, mastery in multiple perception areas, proficiency across training/evaluation/optimization/cloud+edge deployment and MLOps, strong leadership and communication.
DataRobot: Private enterprise AI platform helping global organizations build, operate, and govern predictive and generative AI.
Strong PyTorch skills, experience building and training deep models, understanding of Transformers and sequence architectures, probabilistic modeling experience, solid probability and statistics foundation, strong engineering habits, ability to debug training instability.
Quadric: Private semiconductor IP licensor providing programmable AI processors for on-device inference to chip designers.
Currently pursuing Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or related field; strong Python and C++; foundational compiler concepts; ability to read large codebases; problem-solving and communication skills.
Staff Software Engineer, Deep Learning Acceleration
Mountain View or San Francisco or Pittsburgh
$189k-$274k/yrHybridFull Time
Aurora Innovation, Inc.NASDAQ: AUR: Self-driving technology developing hardware, software, and data services for autonomous trucking and passenger mobility.
5+ YOE5+ years software engineering experience; BS/MS/PhD in CS or related field; strong CUDA, C++, Python; high-performance computing; profiling tools like Nsight; deep learning frameworks; Linux/Unix; strong communication.
Gritt Robotics: Private AI-powered construction robotics automating labor-intensive infrastructure work for construction crews.
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.
Mountain View or San Francisco or Austin or United States
$171k-$269k/yrRemoteFull Time
AtlassianNASDAQ: TEAM: Unleashing the potential of every team.
Senior Machine Learning Engineer with experience in forecasting models, deep learning, and end-to-end ML lifecycle; ability to mentor and collaborate across teams.
AtlassianNASDAQ: TEAM: Unleashing the potential of every team.
Principal-level ML engineer with deep machine learning expertise, product instinct, and systems thinking; hands-on engineering, mentoring, and architectural leadership.
LyftNASDAQ: LYFT: Ridesharing and transportation-as-a-service mobility platform.
2+ YOERequires a BS/MS in computer science or related field, 2+ years of machine learning experience, deep learning framework experience, statistical knowledge, production ML experience, and programming proficiency.
Rippling: Unified workforce management platform for HR, IT, and Finance.
8+ YOE8+ years software engineering experience with 5+ years focused on ML; deep expertise in LLMs and modern ML; hands-on with PyTorch and JAX; experience shipping ML systems and building evaluation/production infrastructure.
Weee!: Private U.S. online Asian grocery retailer delivering culturally diverse groceries and everyday essentials to households nationwide.
2+ YOEBachelor's degree in Information Science or related field plus 24 months of experience as a Quantitative Analyst, AI Engineer, or Machine Learning related position; 2 years professional experience in deep learning, traditional ML, time-series forecasting, multimodal modeling, representation learning, generative AI/LLM, and production ML infrastruct...
Stand: Climate-focused property insurance using physics and AI to insure and harden catastrophe-exposed homes.
Deep experience designing and productionizing multimodal ML and LLM systems, applying ML to physical systems, strong ownership, communication, and cross-disciplinary collaboration.
OpenAI: AI research and deployment focused on beneficial AGI.
7+ YOEMaster's or PhD in computer science, machine learning, or related field, or equivalent experience; 7+ years in relevant engineering; production AI systems, deep learning, transformers, Python or Rust, and distributed systems experience.
Zenos: Industrial robotics developing AI-powered automation for industrial and construction productivity.
5+ YOE5+ years professional experience in top-tier startups, tech companies, or research labs; expertise in perception, terrain mapping, proprioception, object recognition, segmentation, action planning, VLAs, reinforcement learning, and deep neural nets.
Waymo: Autonomous driving technology and robotaxi service provider.
MS in Computer Science, Machine Learning, Robotics or related field; hands-on production ML experience; proficient in Python and/or C++; expertise with deep learning frameworks like JAX or PyTorch.
Atoms: Private footwear making everyday sneakers for consumers.
Deep expertise in machine learning and computer vision; experience with sensor fusion, multimodal learning, 3D perception; strong software engineering in Python/C++; full ML lifecycle knowledge; technical leadership track record.
Skydio: American autonomous-drone manufacturer serving public safety, government, utility, and enterprise customers.
PhD student in relevant field; high proficiency in C++ and/or Python; enthusiasm for computer vision, deep learning, or related areas; strong software engineering foundation.
Atoms: Private robotics and physical-AI building automation for food, mining, and transport industries.
Deep expertise in machine learning for decision-making, robotics, or embodied intelligence; experience with reinforcement learning, imitation learning, or planning; strong software engineering in Python and/or C++; full ML lifecycle experience.
Netholabs: Private UK neurotechnology research generating neural-behavioral data and brain models for whole-brain emulation and AI.
Experience training large deep learning models end-to-end, hands-on transformer or large sequence model training including distributed training, strong Python and PyTorch or JAX skills, comfort with large multimodal or time-series data, and US-based work authorization.
Hive: Private AI software providing models and APIs that understand, search, and generate content for businesses.
1+ YOEUndergraduate or graduate degree in computer science or similar technical field; 1-2 years industry ML experience; trained and deployed deep learning model; strong Python and ML frameworks (TensorFlow, Caffe, Torch); knowledge of C++, Scala/Spark, SQL, Cassandra, Docker.