102 reinforcement learning engineer jobs at 64 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Bugcrowd: Provides a crowdsourced platform for security vulnerability testing.
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
Staff Reinforcement Learning Engineer – Whole Body Control
San Jose, California, United States
$150k-$250k/yrOnsiteFull Time
Figure: Develops autonomous humanoid robots for commercial and residential tasks.
Strong dynamics/control background for legged robots; RL for robotics (PPO, SAC); tune hyperparameters; apply domain randomization and curriculum learning; lead projects and mentor.
Lead AI Infrastructure Engineer, Reinforcement Learning
Santa Clara, California, United States
$179k-$306k/yrHybridFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
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.
Member of Technical Staff – Senior Engineer, Reinforcement Learning – Policy Post-Training
Cambridge or San Francisco
$255k-$340k/yrOnsiteFull Time
Walden Robotics: Builds general-purpose robots and advances robot manipulation through research and development.
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.
Boston Dynamics: Building advanced mobile robots for industrial and warehouse automation.
3+ YOEMS with 3+ years or PhD in ML, Robotics; deployed policies on physical robots; RL toolbox and simulation expertise; PyTorch/JAX; software fundamentals
Reinforcement Learning Engineer - Ingénieur(e) en apprentissage par renforcement
Montréal or New York
HybridFull Time
NBCUniversalNASDAQ: CMCSA: Produces and distributes entertainment content and theme park experiences.
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
Path Robotics: Developing autonomous robotic welding systems for manufacturing.
Master’s/PhD or equivalent experience in CS/Robotics/ML, strong RL experience for real-world systems, proficiency in Python and PyTorch/TensorFlow, simulation and sim-to-real experience, production ML deployment skills.
Python, PyTorch, TensorFlow, Isaac Gym, Gazebo, MuJoCo, PyBullet
Pony.aiNASDAQ: PONY: Develops autonomous driving technology for passenger and freight transportation.
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.
Torc Robotics: Software for autonomous heavy-duty trucking.
6+ YOE6+ yrs experience or MSc 3+ yrs or PhD 1+ yrs; RL/IM/sequence modeling for robotics; Python + PyTorch; large-scale data and autonomy systems knowledge.
Research Engineer – Reinforcement Learning (RL) Systems & Infrastructure (Seed Infra)
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Design and build scalable RL systems and infrastructure for large-scale model training; expertise in distributed systems, GPU optimization, Python/C++, and RL workflows.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
5+ YOEBachelor's in CS (or equivalent), 5+ years relevant experience (including 3 years engineering), strong communication/presentation skills, RL and LLM pipeline experience, and proficiency with PyTorch, JAX, and NeMo-RL.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
5+ YOEBachelor's in CS or related field; 5+ years exp including 3+ in engineering; strong communication; experience presenting to technical audiences; RL pipelines; PyTorch/JAX/NeMo-RL; able to work on training pipelines and demos.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
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: Provides software for creating real-time 3D interactive content.
Expertise in machine learning, reinforcement learning, control theory, large-scale data analysis, online experimentation; strong software engineering in Python and deep learning (PyTorch).