Entry-Level Robot Learning Engineer
Core
Research and evaluate machine learning models for robot perception and task understanding, integrating AI into a ROS 2 robotics stack.
Role type
Entry-Level Robot Learning Engineer
Builds
AI models for robot perception, control, and task understanding
Domain
Robotics and Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, computer vision, reinforcement learning, imitation learning, ROS 2, simulation (Isaac Sim, PyBullet, MuJoCo)
Preferred skills
3D perception, point clouds, depth estimation, robotics/ML research publications, open-source contributions
Technologies
ROS 2, Isaac Sim, PyBullet, MuJoCo, PyTorch, TensorFlow
Responsibilities
Research and evaluate ML models for robot perception and task understanding; Apply computer vision and deep learning to sensor data; Experiment with reinforcement and imitation learning; Integrate AI models into ROS 2; Run experiments and support deployment on real robotic systems
Seniority
Entry-Level, hands-on IC
