Senior ML Engineer (AI Research, Physical AI)
Core
Senior ML Engineer building intelligent agents for physical AI, focusing on robotic control, world models, and sim-to-real transfer.
Role type
Senior IC machine-learning engineer (physical AI/robotics)
Builds
Intelligent robotic agents, vision-language-action models, simulation environments, and distributed training infrastructure.
Domain
Robotics, Physical AI, Reinforcement Learning, Computer Vision
Deliverable
production ML models | research
Required skills
Reinforcement learning, Imitation learning, Multimodal generative modeling, Transformer-based foundation models, Distributed training, Python, JAX, Statistical rigor, Algorithm design
Preferred skills
Dexterous manipulation, Whole-body control, Teleoperation data collection, MuJoCo/Isaac Sim/PyBullet, FSDP/ZeRO/FlashAttention, PhD in CS/Robotics/ML
Technologies
JAX, Python, MuJoCo, Isaac Sim, Isaac Lab, PyBullet, ROS, FSDP, ZeRO, FlashAttention
Responsibilities
Designing and training large models for robotic agents, Developing vision-language-action architectures, Investigating RL methods for sparse objectives, Building scalable data pipelines for embodied learning, Developing simulation environments and sim-to-real experiments, Writing robust research software and distributed training infrastructure
Seniority
Senior, hands-on IC
