Machine Learning Engineer, Robot Learning
Core
Building agentic AI systems for industrial applications using embodied intelligence to close the skilled labor gap.
Role type
Machine Learning Engineer, Robot Learning
Builds
Field-ready AI for industrial robotic cells
Domain
Robotics, Industrial Automation, Embodied AI
Deliverable
production ML models
Required skills
Behavioral cloning, reinforcement learning, diffusion models, vision-language-action (VLA) models, multi-modal data processing, motion control, planning algorithms, pose estimation, segmentation, active perception, affordance-based bin picking, C++, Python, robotic simulation (Isaac Sim, MuJoCo)
Preferred skills
Publishing at top conferences (NeurIPS, ICLR, ICML, CoRL, RLC), building models from scratch, deploying scalable autonomous solutions
Technologies
Isaac Sim, MuJoCo
Responsibilities
Develop and deploy behavioral cloning, reinforcement learning, and diffusion models for robotic tasks; Design and implement vision-language-action (VLA) models; Craft strategies for data collection, fleet learning, and continuous learning; Develop and optimize learning-based methods for robot control and manipulation on industrial fleets; Collaborate with hardware/software teams to integrate algorithms into robotic platforms.
Seniority
Senior, hands-on IC