Applied Intuition
Research Scientist - Reinforcement Learning, Robotics
$126K–$423K
Sunnyvale · On-site · Full-time · Posted Sep 17, 2024
- Experience
- 1+ year of research experience; open to all years of experience if requirements are met.
- Education
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related fields.
About the job
Conduct reinforcement learning research for robotics and autonomous systems, publish findings, and collaborate on testing and deploying algorithms into products.
What you'll do
- Research large-scale closed-loop RL and VLA post-training, especially for dexterous robotics.
- Collaborate on research publications for top-tier conferences.
- Work with engineering teams to test and deploy algorithms in autonomy and robotics products.
What they ask for
- Strong research record in RL and VLA post-training for robotics or autonomous systems, with relevant top-tier publications.
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications, or a closely related field.
- At least 1 year of research experience in autonomy, self-driving, robotics, or a related field.
- Technical experience with Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training.
Nice to have
- Hands-on experience with VLA post-training, large-scale closed-loop RL in robotic simulation, or large-scale RL training infrastructure.
Pay
$126K – $423K (base salary)
Tools
Python, Pytorch
AI focus
Reinforcement learning and VLA post-training for physical AI, robotics, and autonomous systems.
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