Jobs in America

Reinforcement Learning Research Scientist

6 Year

If you're interested in pursuing a job that allows you to work on your own terms, full time work might be a good option. You can negotiate your salary with the employer because the salary is not disclosed. March 18, 2024 marked the release of the job listing for the Reinforcement Learning Research Scientist position, which will no longer be accessible after June 16, 2024. Prospective candidates who are interested in this position are encouraged to apply, regardless of their current location. To be eligible for this job, you must possess work experience in the same field for at least 72 months.

Our Mission Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
We aim to advance athletic intelligence to new heights by leveraging simulation-based methods like Reinforcement Learning, augmenting them with model information.

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Reinforcement Learning Research Scientists
will have proven hands-on research or industry experience focusing on one or more of these key areas: Learning-based locomotion, loco-manipulation, or ultra-mobile systems. Having practical hardware experience is essential for this role. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you! Requirements
  • MS / PhD or equivalent industry experience in robotics, computer science, or related fields
  • 6+ years of experience in research and development
  • Ability to demonstrate technical proficiency in Reinforcement Learning, Control, Robotics, or Imitation Learning
  • Experience with sim-to-real for robotic hardware such as legged robots or highly dynamic mobile vehicles.
  • Experience in working with perception-based control
  • Advanced programming skills in Python or C++
  • Expertise with deep learning frameworks such as PyTorch and robotic simulation
  • Proven track record in top-tier conferences and journals in Machine Learning, Robotics, Control, or related fields
  • Knowledge of Model Predictive Control
  • Experience in combining model-based and data-driven approaches
  • Experience in working with Isaac-Gym, Isaac-Sim, or Orbit
  • Experience in working with ROS or ROS2Experience with Docker, cloud computing, or similar applications
  • Experience with parallel programming (e.g., CUDA)These attributes are great to have but not required for our candidates.
These attributes are great to have but not required. Candidates who lack these should not be discouraged from applying.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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