Research Scientist - Reinforcement Learning
Job Description
Job DescriptionOur MissionOur 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.
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!
This is a senior role. We are looking for experienced industry candidates. Ideally, looking for candidates who have experience working with Humanoids, Legged Robots, Quadrupedal, Locomotion and RL technology.Requirements
- MS / PhD or equivalent industry experience in robotics, computer science, or related fields
- Minimum of 2 years exp. 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 specifically 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
Bonus
- 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 ROS2
- Experience with Docker, cloud computing, or similar applications
- Experience with parallel programming (e.g., CUDA)
These attributes are great to have but not required. Candidates who lack these should not be discouraged from applying.
The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established.
Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.
Base pay is part of a competitive total compensation package that may include an annual bonus, a long-term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more.
Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.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.