Senior ML Engineer (AI Research, Physical AI)

Preferred Qualifications

• Experience working with real-world robots and robotic simulation environments
• Experience with dexterous manipulation, whole-arm manipulation, mobile manipulation, or humanoid robotics
• Experience with multimodal sensing, including tactile, force-torque, depth, and proprioceptive signals
• Experience collecting human demonstrations through teleoperation, motion capture, wearable devices, or observation
• Experience developing or post-training vision-language models, vision-language-action models, or video and world models
• Experience with deep reinforcement learning techniques such as offline RL, actor-critic methods, PPO, reward modeling, preference learning, or model-based RL
• Familiarity with robotics tools and simulators such as MuJoCo, Isaac Sim, Isaac Lab, PyBullet, ROS, or equivalent systems
• Knowledge of scalable training techniques such as FSDP or ZeRO, FlashAttention, mixed-precision training, quantization, and distributed checkpointing
• A PhD in Computer Science, Robotics, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
• A track record of impactful publications, open-source contributions, or deployed robotic systems
• Experience engineering large distributed data-processing, simulation, or model-training systems
• A record of building and delivering products or research prototypes in a dynamic, startup-like environment
• Passion for moving research from controlled experiments to capable, reliable real-world robotic systems
• Excellent command of English, with strong technical writing, presentation, and communication skills
• Proficiency in contemporary software engineering practices, including version control, testing, code review, and CI/CD