Senior ML Engineer (AI Research, Physical AI)
Core
Building intelligent agents that perceive, reason, and act in the physical world through applied AI research.
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, experimental design, robotics control
Preferred skills
Dexterous manipulation, whole-body control, sim-to-real transfer, tactile/force sensing, teleoperation data collection, MuJoCo/Isaac Sim/PyBullet, FSDP/ZeRO/FlashAttention, open-source contributions
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, prototyping manipulation capabilities, writing distributed training infrastructure, collaborating to translate research to real-world systems, publishing technical reports
Seniority
Senior, hands-on IC
