Research Scientist, World-Action Foundation Models Robotics

Applied Intuition Inc.; Sunnyvale (CA); Hybrid; USD 126,000 - 423,000; Full time

Job summary

Applied Intuition, Inc. in Sunnyvale, CA, seeks multiple Research Scientists to advance next‑gen physical AI for autonomous driving and robotics. You will join a high‑caliber team of experts, drive world action foundation models, and contribute to publications and product deployment.

You will collaborate with researchers and engineers to test and implement algorithms across autonomy and simulation platforms, influencing real‑world applications and customer outcomes.

Qualifications

• Strong research record in 3D vision, reconstruction and generation for robotics or autonomous systems.
• MSc or PhD in ML and computer vision with autonomy/robotics applications.
• Experience in Python, PyTorch and distributed ML for real‑world systems.

Responsibilities

• Conduct research on world action foundation models with vision and physics for robot actions and simulation.
• Explore topics like vision-physics modality, world foundation models, and multi‑modal pretraining.
• Publish research findings at top conferences and collaborate with engineers to deploy algorithms.
• Work with researchers and interns to produce publications and test in autonomy products.
• Collaborate with engineering teams to validate methods in our autonomy and simulation products.

Skills

3D vision research

Robotics systems

Distributed ML

Python

PyTorch

Independent & collaborative work

Education

MSc or PhD in ML/Computer Vision with robotics applications

Tools

PyTorch

Python

Job description

Applied Intuition, Inc. in Sunnyvale, CA, seeks multiple Research Scientists to advance next‑gen physical AI for autonomous driving and robotics. You will join a high‑caliber team of experts, drive world action foundation models, and contribute to publications and product deployment.

You will collaborate with researchers and engineers to test and implement algorithms across autonomy and simulation platforms, influencing real‑world applications and customer outcomes.