Intern - Reinforcement Learning EngineerGhost Robotics • Philadelphia, Pennsylvania, United States
Intern - Reinforcement Learning Engineer
Ghost Robotics
- Philadelphia, Pennsylvania, United States
- Philadelphia, Pennsylvania, United States
About
Develop infrastructure - scripts for training and evaluating algorithm progress Use mjlab for training in simulation, with domain randomization for zero-shot sim2sim and sim2real transfer Hands-on testing on the physical robot Reward tuning for desirable performance
Requirements:
Holds Bachelor's degree in Computer Engineering, Software Engineering, or a related field Currently pursuing Masters degree in Computer Engineering, Software Engineering, or a related field Expertise in reinforcement learning algorithms like PPO, TRPO Experience with weights & biases dashboard setup Python programming experience Mjlab or Isaac sim experience Optional but highly desirable: taken ESE 6510 Physical Intelligence course at Penn (or equivalent)
Location: Philadelphia, PA (no remote candidates considered at this time). Schedule and Commitment: Flexible, part-time schedule, 20 - 30 hours per week. Able to commit to three (3) month minimum project, with option to extend following evaluation. Travel: No Travel Required. Compensation: Competitive base $30 - $45 per hour. Background Check: Clear standard background checks, pre-hire, post hire and anytime during employment as required. Residency Requirements: Employment Authorization Required. Intellectual Property: Note: An IP agreement needs to be signed for this project, and any public release of project outputs requires prior company approval. Physical Requirements:
Prolonged periods of standing, sitting at a desk and working on a computer. Must be able to lift 20 pounds. Assistive equipment available.
Languages
- English
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