The Reinforcement Learning Engineering Internship is an opportunity for Bachelors and Masters candidate students to join and contribute to the Persona team as we develop our industrial humanoids. Our objective is to provide each intern with a positive learning environment, hands-on experience with humanoids, and ownership over their own project direction. We are looking for students with an excitement for learning, technical excellence, and creative problem-solving skills. Each intern will have a designated mentor to provide guidance and assistance in developing and making progress towards a target goal. We have a strong bias for projects that lead to software, controls, or policies deployed on our hardware and extending the capabilities of our systems. Projects will be jointly planned by the intern and their mentor to build on the intern’s background, extend their experience to new areas of interest, and fit into the broader goals of the Persona reinforcement learning team. For this role, the specific tasks will be defined prior to the start date by the mentor and the intern based on their experience, proficiencies, and personal interests. The scope may also be adjusted to fit the project within the intern’s time-frame. We encourage interns to share their interests even if they may be entirely different from their technical background. Some example general tasks that may be a part of any project are described below: Develop new simulation training environments Design new behaviors or extend capabilities for the Persona robots Deploy to hardware, log data, and analyze results Create or implement new algorithms for modeling, training, sensing, or deployment Characterize hardware sensors, actuators, and general robot parameters
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Job Type
Full-time
Career Level
Intern
Number of Employees
1-10 employees