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.
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 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.
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).
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.
Senior PMT ES - Reinforcement Learning, SageMaker AI
Bellevue or Santa Clara
$152k-$237k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEBachelor's in CS/engineering/math/finance/econ, 5+ years technical product management with internet business experience, experience taking products from conception to market, working with customers and technical teams; RL and large-scale SaaS/PaaS experience preferred.
Apptronik: Designs and manufactures humanoid robots for industrial automation.
8+ YOE8+ years experience in robotic simulation or software engineering, strong C++ and Python skills, experience with modern simulators (Isaac Lab, MuJoCo), cloud-scale parallel simulation (AWS/GCP/Azure), reinforcement learning knowledge, Master's/PhD or equivalent experience.
Sunnyvale or Austin or Detroit or Warren or Milford or Mountain View or United States
$296k-$424k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
MS or PhD in CS/Robotics/ML or related; experience leading technical teams delivering production ML systems; deep expertise in robotics planning/control, imitation or reinforcement learning, generative models, and large-scale ML; strong software engineering skills in Python and C++.
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)
Cambridge or McLean or San Jose or New York
$219k-$272k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEPhD or MS+2 years in CS/EE/AI/math; experience building large deep learning models and LLMs, publications, training/deploying models, strong ML foundation and software engineering skills.
Autonomique: Developing hardware-agnostic physical AI software for industrial robotics.
3+ YOEMS or PhD in Robotics/CS, 3+ years shipping code for physical robots, expertise in manipulation planning, imitation or reinforcement learning, production Python and C++ experience, familiarity with sim-to-real.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
5+ YOE5+ years building scalable distributed backend systems and microservices; experience with game engines; proficiency in one or more languages such as C#, Lua, C++, Go, or Python; familiarity with ML techniques (LLM, reinforcement/imitation learning) and strong cross‑functional communication.