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Research Intern - Robotic Hardware, Simulation and Data

1 month, 2 weeks ago
United States
Internship
Entry Level
Research Scientist
Artificial Intelligence and Machine Learning
Computer Vision Machine Learning Reinforcement 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 in one of the team’s focus areas, including humanoid robotics and human data collection hardware experiences.
  • Conduct research in large-scale robotic simulation, deformable object simulation, and RL training applications.
  • Conduct research in human data processing, retargeting, pose estimation, and SLAM.
  • Support the team in developing research that can be applied to autonomous and robotic systems.
  • Work closely with research scientists and engineers on high-quality publications for top-tier conferences.
  • Contribute to the development of methods that can be deployed into self-driving vehicles, industrial machines, and robots.

Requirements

  • Current PhD or MSc studies in machine learning, computer vision and graphics, or robotics.
  • Strong research background and relevant research skills.
  • Ability to work both independently and collaboratively on projects.
  • Passion for next-generation, scalable autonomy and robotics.
  • Interest in the research areas of humanoid robotics, simulation, or human data processing (preferred focus areas).
  • Ability to contribute to high-quality research publications for submission to top-tier conferences.
  • Willingness to work primarily in-office 5 days a week, with occasional remote flexibility.
  • Open to applying even if experience does not match every qualification listed.

Benefits

  • Competitive work environment at a well-funded company valued at $15 billion.
  • Opportunity to work with leading experts and contribute to top-tier research publications.
  • Access to industry-leading tools, infrastructure, and millions of miles of fleet data.
  • Hands-on experience with autonomous and robotic systems used in real-world applications.
  • In-office flexibility for occasional remote work, morning home meetings, or earlier departures when needed.
  • Equal opportunity employer status with federally compliant workplace protections.

Interested in this position?

Apply directly on the company website

Apply Now

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