98 reinforcement learning engineer jobs at 52 companies in California
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Senior Reinforcement Learning Engineer
Sunnyvale or Austin
OnsiteFull Time
Apptronik: Private humanoid robotics developing AI-powered robots for manufacturing, logistics, and future healthcare and home applications.
5+ YOERequires 5+ years with reinforcement learning frameworks and physics simulators, Python and C++, distributed training, robotics, and policy deployment; PhD or MS preferred and mentoring experience expected.
PyTorch, JAX, MuJoCo, IsaacGym, Python, C++, CoRL, RSS, ICRA
Bugcrowd: Crowdsourced cybersecurity SaaS provider helping organizations find and remediate vulnerabilities through bug bounties, penetration testing, and red teaming.
Experience with reinforcement learning workflows, Linux ML environments, vulnerability research/binary exploitation, proficiency in Python and C, DevOps pipelines and reproducible builds, and low-level debugging.
Mayhem, GitHub Actions, docker, buildkit, nix, Python, C, Rust, Linux
Senior Deep Reinforcement Learning Engineer - Autonomous Driving
Santa Clara, California, United States
$224k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOEBS or higher in computer science, robotics, electrical engineering, or related field; 12+ years of experience; expertise in reinforcement learning, PyTorch or TensorFlow, C++, and Python.
Pony.aiNasdaq: PONY: Public autonomous driving technology developing and commercializing Robotaxi, Robotruck, and personally owned vehicle solutions.
3+ YOEM.S./Ph.D. or equivalent experience; 3+ years building production ML with strong RL experience; depth in deep learning and generative models; distributed training and large-scale data processing; strong communication.
Elorian: AI research lab building multimodal visual-reasoning models for machines, robotics teams, engineers, and scientific organizations.
3+ YOE3+ years distributed systems experience, strong Python and PyTorch or JAX, multi-node GPU orchestration (Ray, SLURM, Kubernetes), experience with actor-learner architectures and RL training pipelines.
XPengNYSE; HKEX: XPEV; 9868: Global AI mobility technology focused on smart EVs.
1+ YOEAdvanced degree preferred but open to fresh graduates; proficiency in Python; 1+ years experience with deep learning frameworks such as PyTorch; strong RL and imitation learning knowledge; experience with PPO/DQN/SAC; C++ and hardware experience preferred.
Senior Deep Reinforcement Learning Engineer - Autonomous Driving
Santa Clara, California, United States
$224k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOEBS or higher in computer science, robotics, electrical engineering, or related field; 12+ years of experience; expertise in reinforcement learning, PyTorch or TensorFlow, C++, and Python.
Huntsville or McLean or El Segundo or Colorado Springs
$99k-$225k/yrOnsiteFull Time
Booz Allen HamiltonNYSE: BAH: Global firm providing management, technology, and engineering consulting services.
3+ YOE3+ years developing and training RL agents; experience with Gym/PettingZoo, PyTorch/TensorFlow/JAX, Python and optionally C++/Rust; ability to obtain/hold Secret clearance and travel up to 25%.
Senior Deep Reinforcement Learning Engineer - Autonomous Driving
Santa Clara, California, United States
$224k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
12+ YOEBS or higher in computer science, robotics, electrical engineering, or related field; 12+ years of experience; RL expertise; PyTorch or TensorFlow; C++ and Python development for real-time systems.
Lead AI Infrastructure Engineer, Reinforcement Learning
Santa Clara, California, United States
$179k-$306k/yrHybridFull Time
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Design and operate distributed RL training infrastructure at scale; strong systems experience in ML platforms; proficiency with PyTorch/JAX, NCCL/MPI-style distributed training, C++/Python performance tuning; Bachelor's degree required.
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
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
Member of Technical Staff – Senior Engineer, Reinforcement Learning – Policy Post-Training
Cambridge or San Francisco
$255k-$340k/yrOnsiteFull Time
Walden Robotics: Private full-stack physical AI building and deploying general-purpose robots for manufacturing and logistics.
Hands-on RL experience for manipulation, sim-to-real transfer, reward and curriculum design, strong software engineering, and ability to run large-scale training and experiments.
Pony.aiNasdaq: PONY: Public autonomous driving technology developing and commercializing Robotaxi, Robotruck, and personally owned vehicle solutions.
MS/PhD in CS/ML/AI or related field, or equivalent experience; RL/production ML experience; deep learning, sequence modeling, generative models; publish or ship impactful ML systems; large-scale training and data processing; lead ambiguous work.
Research Scientist / Engineer – Reinforcement Learning Infrastructure
Redwood City, California, United States
HybridFull Time
Luma AI: AI is a private creative AI platform generating video and images for creators and teams.
Experience operating post-trained LLMs with reinforcement learning at scale, distributed PyTorch training, building RL environments and reward infrastructure, and debugging large asynchronous rollout pipelines.
Research Engineer – Reinforcement Learning (RL) Systems & Infrastructure (Seed Infra)
San Jose, California, United States
OnsiteFull Time
ByteDance: Global technology specializing in AI-powered content platforms.
Design and build scalable RL systems and infrastructure for large-scale model training; expertise in distributed systems, GPU optimization, Python/C++, and RL workflows.
Mariana Minerals: Private software-first minerals project developer and operator supplying critical minerals for modern energy, AI, and defense technologies.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
UnityNYSE: U: Develops tools for games and interactive experiences.
Expertise in machine learning, reinforcement learning, control theory, large-scale data analysis, online experimentation; strong software engineering in Python and deep learning (PyTorch).
DoorDashNYSE: DASH: Technology enabling local on-demand delivery and commerce.
5+ YOERequires 5+ years building production ML systems, Python, PyTorch, Spark, Airflow, modern ML infrastructure, and expertise in deep learning, reinforcement learning, optimization, LLMs, or VLMs.
PyTorch, Spark, Airflow, Python, Claude Code, Codex, Cursor, large language models (LLMs), vision-language models (VLMs)
CiscoNASDAQ: CSCO: Global leader in networking, cybersecurity, and cloud-native technology solutions.
3+ YOEBachelors+6yrs or Masters+3yrs in CS/ML/Math/Statistics, experience with Python/Java/C++, ML model development and deployment, LLM/LLM fine-tuning, transformers, reinforcement learning, and cross-functional collaboration.
Python, Java, C++, TensorFlow, PyTorch, Scikit-Learn, AWS SageMaker, Google Cloud AI Platform, Azure ML
Research Engineer, Chip Design RL (Reinforcement Learning)
San Francisco or New York City
$500k-$850k/yrHybridFull Time
Anthropic: AI research developing safe and steerable AI systems.
Bachelor's or equivalent, expertise in ASIC/FPGA design and EDA tools, experience with RTL, verification (UVM, formal methods), physical design and tapeout experience; RL experience and tooling experience preferred.