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Research Intern - Robotic Hardware, Simulation and Data

21 hours, 41 minutes ago
United States
Internship
Entry Level
Research Scientist
Artificial Intelligence and Machine Learning
Computer Vision Machine Learning Reinforcement Learning
Apply Now
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 45

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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