139 reinforcement learning engineer jobs at 82 companies in United States
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Reinforcement Learning Engineer (Cybersecurity)
United States or San Francisco or New Hampshire
$176k-$243k/yrRemoteFull Time
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
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
Bright Vision Technologies: AI-powered enterprise automation and software development firm.
6+ YOERequires a master's or PhD in computer science, machine learning, or related field or equivalent experience; 6+ years of RL research and engineering; Python, deep learning frameworks, RL libraries, probability, optimization, and GPU cluster experience.
Bags.fm: Solana token-launch and trading platform helping creators, artists, entrepreneurs, and agents fund projects through trading royalties.
Production experience with autonomous learning systems controlling capital or other resources, risk limits, policy evaluation, deployment, monitoring, and end-to-end ownership of complex ML systems.
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.
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/Rust/C++, secret clearance eligibility, bachelor's in CS/AI/Engineering, up to 25% travel.
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.
Boston Dynamics: Boston Dynamics is a robotics developing highly mobile robots for industrial automation in difficult work environments.
3+ YOEMS with 3+ years or PhD in ML, robotics, or related field; deployed robot policies; expertise in RL, simulation, PyTorch/JAX, inference runtimes, Bazel, Docker, CI/CD, and Kubernetes.
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.
Reinforcement Learning Engineer - Ingénieur(e) en apprentissage par renforcement
Montréal or New York
HybridFull Time
NBCUniversalNASDAQ: CMCSA: A leading global media and entertainment.
Graduate degree in robotics/CS/AI, proven RL engineering experience, strong math, fluency in Python/Git/Unix, experience with RL frameworks and simulators, and sim-to-real expertise.
Python, Git, Unix shell, Ray RLlib, Stable Baselines3, CleanRL, MuJoCo, Bullet, Unity, Unreal, Isaac Sim, Jira, Confluence, Slack