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Applied Intuition

Builds software for autonomous vehicles

Research Scientist - World-Action Foundation Model, Robotics

AI ResearchConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$126k - $423k /yr

About the Job

Requirements

  • Strong research record in 3D vision, reconstruction, and generation for robotics and autonomous systems, including publications in top-tier conferences or journals in computer vision, machine learning, and robotics.
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related fields.
  • At least one year of research experience in autonomy, self-driving, robotics, or a related field.
  • Strong research skills and the ability to work independently and collaboratively on projects.
  • Technical experience with Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.

Responsibilities

  • Conduct research on pretraining world-action foundation models with world modalities including vision and physics associated with ego actions, for robot action and simulation world generation.
  • Explore topics including vision-physics modality association, feed-forward Gaussian splatting, world foundation models, human data incorporation, language modality, spatial reasoning, deformable object modeling, and simulation.
  • Research related topics including 3D/world-action foundation models, multi-modal pretraining, feed-forward Gaussian splatting, world foundation models applied to autonomous driving, and fundamental topics in 3D vision and generation.
  • 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 autonomy and simulation products.

Desired Qualifications

  • Hands-on experience with 3D foundation models and pretraining.
  • Hands-on experience with multi-modal foundation models.
  • Hands-on experience with feed-forward Gaussian splatting and reconstruction.
  • Hands-on experience with world foundation models and generation.
  • Hands-on experience with 3D/multi-view end-to-end models for autonomous driving or robotics.
  • Hands-on experience with human data processing and incorporation.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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