Research Scientist Action Foundation Model, Robotics

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

We are looking for multiple passionate Research Scientists to join the Research Group at Applied Intuition. The mission of the group is to create cutting‑edge technology enabling next‑generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end‑to‑end autonomous driving and robotic generalist.

Supported by industry‑leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self‑driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast‑paced and customer‑focused culture.

Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity.

• Conduct research on pretraining world‑action foundation model with various world modalities including vision and physics associated with ego actions, serving the purpose for both robot action and simulation world generation.
• Diving into relevant topics such as vision‑physics modality association, feed‑forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning, deformable object modeling and simulation.
• Related topics including 3D/world‑action foundation model, multi‑modal pretraining, feed‑forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation with broader applications.
• Work closely with other Research Scientists and interns on research publications for submission to top‑tier conferences.
• Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and simulation products.

• Strong research record in the fields of 3D vision, reconstruction and generation for robotics and autonomous systems, with publications in top‑tier conferences or journals in the fields of computer vision, machine learning, and robotics.
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely‑related fields.
• Passion for next‑generation, scalable autonomy and robotics for real‑world systems.
• Strong research skills and the ability to work both independently and collaboratively on projects.
• Technical experience in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training.

Hands‑on experience in at least one of the following fields:

• 3D foundation model and pretraining.
• Multi‑modal foundation model.
• Feed‑forward Gaussian splatting and reconstruction.
• World foundation model and generation.
• 3D/multi‑view end‑to‑end models for autonomous driving or robotics.
• Human data processing and incorporation.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and…