ML Engineer - Robotics

This role sits at the intersection of machine learning, control systems, and real-world robotics, building the perception, planning, and decision-making pipelines that make autonomous systems truly adaptive. You'll collaborate with frontier AI researchers and hardware engineers to solve hard, interdisciplinary problems that bridge data-driven learning with physical-world constraints — work that directly shapes the next generation of embodied intelligence.

Develop and optimize ML models for perception, motion planning, and control.

Build computer vision and sensor fusion systems using camera, LiDAR, and IMU data.

Integrate learning-based models with robotics software stacks (ROS/ROS2).

Design pipelines for data collection, simulation, and reinforcement learning workflows.

Collaborate with robotics and hardware engineers to deploy models in live environments.

Continuously evaluate model performance and robustness across diverse real-world scenarios.

3–8 years of professional experience in Machine Learning, Robotics, or Computer Vision.

Proficiency in Python and C++ for robotics and ML development.