Applied Intuition
Research Scientist (Research)
$126K–$423K
Sunnyvale · On-site · Full-time · Posted Aug 19, 2025
- Experience
- 1+ year of research experience in autonomy, self-driving, or a related field; 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 research on reinforcement learning and VLA post-training for autonomous driving and robotics, publish findings, and help test and deploy algorithms in products.
What you'll do
- Research RL topics, including self-play, VLA post-training, and closed-loop RL using neural simulation.
- 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 autonomous systems or robotics, including publications in top-tier conferences or journals.
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or a closely related field.
- 1+ year of research experience in autonomy, self-driving, 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 self-play RL, imitation learning, or behavior learning; VLA post-training; or large-scale closed-loop RL in driving simulation.
- Experience with large-scale RL training infrastructure; Ray preferred.
Pay
$126K – $423K (base salary; currency not stated)
Tools
Python, Pytorch, computer vision, robotics systems, distributed machine learning model training, Ray
AI focus
Research and deploy physical AI methods for autonomous driving and robotics, particularly reinforcement learning, VLA post-training, and imitation or behavior learning.
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