Applied Intuition
Research Engineer - Robot Learning
$126K–$423K
Sunnyvale · On-site · Full-time · Posted Aug 19, 2025
- Experience
- At least 1 year; open to all years of experience if requirements are met.
- Education
- Master’s or PhD in machine learning and computer vision with autonomy and robotics applications, or a closely related field.
About the job
Develop and deploy research and engineering methods for robot learning, simulation, and autonomous systems.
What you'll do
- Set up robotic and data-collection hardware and design customized mechatronic systems.
- Build scalable robotic simulation environments for reinforcement-learning training and process human data for robotics.
- Collaborate on research publications and deploy end-to-end algorithms and neural simulation or generation tools.
What they ask for
- Hands-on experience in at least one listed field: world-action foundation models, video/Gaussian generation, diffusion policy, multimodal robot learning, VLA post-training, reinforcement learning, physics-aware reconstruction, or deformable simulation.
- Technical experience with Python, Pytorch, computer vision, robotics systems, and distributed machine-learning model training.
- Master’s or PhD in machine learning and computer vision applied to autonomy and robotics, or a closely related field.
- At least 1 year of experience in autonomy and robotics applications or a closely related field.
Nice to have
- Passion for building and shipping customer-focused software frameworks or tools.
Pay
$126K – $423K (USD, base salary)
Tools
Python, Pytorch
AI focus
Research and engineering for robot learning, reinforcement learning, physical AI, and autonomous systems.
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