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Research Intern - World-Action Foundation Model, Robotics

1 month, 2 weeks ago
United States
Internship
Entry Level
Research Scientist
Artificial Intelligence and Machine Learning
Computer Vision Machine Learning
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Applied Intuition

Applied Intuition

Vehicle software supplier | Applied Intuition Simulation and validation platform for automotive, trucking, construction, and more. Solutions to safely develop, test, and deploy autonomous systems at scale #PoweringAutonomy Industry leading platform tha...

Internet Software & Services
251-1K
Founded 2017
$352M raised
View All Jobs 36

Description

  • Conduct research on pretraining world-action foundation models using vision, physics, and ego-action modalities.
  • Explore topics including vision-physics modality association, feed-forward Gaussian splatting, world foundation models, human data incorporation, language modalities, spatial reasoning, and deformable object modeling and simulation.
  • Support research aimed at both robot action and simulation world generation.
  • Work closely with research scientists and engineers on high-quality publications for top-tier conferences.
  • Contribute research that can be deployed into autonomous and robotic systems such as self-driving vehicles, mining and construction machines, humanoid robots, and dexterous hands.
  • Learn from and contribute to best practices in the autonomy and robotics industries within a fast-paced, customer-focused environment.

Requirements

  • Current PhD or MSc studies in machine learning, computer vision and graphics, or robotics.
  • Strong research background in relevant topics.
  • Ability to work both independently and collaboratively on projects.
  • Passion for next-generation, scalable autonomy and robotics.
  • Interest in research for autonomous driving and robotic generalists.
  • Willingness to work in an in-office environment, primarily from an Applied Intuition office 5 days a week, with occasional remote flexibility.
  • Open to applying even if experience does not match every qualification, as the company encourages candidates to apply anyway.

Benefits

  • Primarily in-office work with flexibility for occasional remote work when needed.
  • Opportunity to work with leading experts in the field and contribute to top-tier research.
  • Access to industry-leading tools and infrastructure, including millions of miles of fleet data.
  • Chance to impact real customer programs and deliver immediate value to the business.
  • Exposure to research deployments across autonomous driving, mining, construction, humanoid robotics, and dexterous manipulation.
  • Inclusive hiring policy encouraging applicants who do not meet every requirement to still apply.

Interested in this position?

Apply directly on the company website

Apply Now

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