We're seeking a Research Scientist with a strong background working across humanoids in the areas of RL, Manipulation and locomotion.
This is a small team founded out of Tesla and Figure and is using the best of both robots to build a best in place humanoid.
Day to day, you’ll work with a small team of scientists & engineers in developing and testing a combination of DeepRL and Supervised Learning policies on quadrupeds & humanoids!
If you’d like to be part of this you’ll really need to know your stuff! You’ll have proven experience in a lead role, applying RL techniques for robot learning, as well as applying ML on vision/speech/text data for classification/regression. (Some top-tier publications won't go amiss either)
Key Responsibilities:
• Develop DeepRL policies that take vision, sound & proprioception as input and output joint angles/torques to solve various challenging tasks
• Design policies capable of learning from teleoperation methods such as Learning from Demonstration (LfD) and Reinforcement Learning from Demonstrations (RLfD).
• Develop policies leveraging large-scale internet videos showcasing task performances by humans or robots (LfV) to enhance learning.
Requirements:
• Proven experience in applying RL techniques for robot learning (ideally 3+ years in a lead role)
• Phd/Masters in Computer Science or related field
• Publications in prominent AI/ML journals and/or work experience in a robotics company
• Good understanding of sim to real gap and distribution shift in robotics
Compensation:
• Competitive salary ranging from $250,000 to $350,000 annually, depending on experience
• Equity compensation on top of salary described.
• Comprehensive benefits package.
This company is an equal-opportunity employer and value diversity. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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