69 reinforcement learning engineer jobs at 39 companies in Dublin, CA
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Reinforcement Learning Engineer (Cybersecurity)
United States or San Francisco or New Hampshire
$176k-$243k/yrRemoteFull Time
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
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
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: AI lab building multimodal models for advanced visual reasoning.
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.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
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.
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.
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.
Research Scientist / Engineer – Reinforcement Learning Infrastructure
Redwood City, California, United States
HybridFull Time
Luma AI: Develops multimodal AI for video generation and creative production.
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: 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).
Research Engineer, Chip Design RL (Reinforcement Learning)
San Francisco or New York City
$500k-$850k/yrHybridFull Time
Anthropic: Developing safe and reliable artificial intelligence 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.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
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
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
Master's or PhD in CS/robotics/ML, deep reinforcement learning experience, strong C++ and Python skills, hands-on with JAX or PyTorch, experience bridging sim-to-real fidelity gaps and working with GPU/CUDA environments.
LTA Research & Exploration: Develops and builds next-generation zero-emission rigid airships.
Degree in robotics/mechatronics/engineering, expertise in humanoid kinematics and dynamic control, proficiency in C++ and Python, experience with ROS 2 and simulation, background in ML/Reinforcement Learning preferred, background check and drug test required.
C++, Python, ROS 2, Gazebo, NVIDIA Isaac Sim, SST, TTS
Imagry: Mapless autonomous driving software for vehicle manufacturers.
3+ YOEM.Sc. (or equivalent) in a quantitative field, 3+ years algorithm engineering experience, expertise in motion planning/decision making/optimization/Reinforcement Learning or LLM fine-tuning, and proficiency in Python and C++.
Eightfold.ai: AI-native platform for talent management and workforce optimization.
2+ YOEExperience in machine learning, LLMs, agentic AI, reinforcement learning; proficiency with Python, TensorFlow/PyTorch, AWS, Docker, Kubernetes; 2+ years relevant ML experience; strong coding, algorithms, and communication skills.