Research Engineer - 3d Vision And Generation, Self-driving

Applied Intuition

Sunnyvale, California, United States
Base: $126,000 - $423,000 usd annually; equity: op...
On-site
Hands-on experience with gaussian splatting
Experience with 3d multi-modal foundation models
Proficiency in python and pytorch
Applied Intuition is seeking a Research Engineer specializing in 3D vision and generation for self-driving technology. The role involves conducting innovative research in autonomous driving, working collaboratively with experts, and deploying solutions that enhance physical AI infrastructure

Job Summary

  • The mission of the group is to create cutting-edge technology enabling next-generation physical AI with emphasis on end-to-end autonomous driving.
  • Researchers can access millions of miles of data from large fleets to deploy methods into various autonomous and robotic systems.
  • Compensation includes base salary ranging from $126,000 to $423,000 USD annually, plus equity and comprehensive benefits.

Matching Summary

Match Score: 85

Applied Intuition is seeking a Research Engineer specializing in 3D vision and generation for self-driving technology. The role involves conducting innovative research in autonomous driving, working collaboratively with experts, and deploying solutions that enhance physical AI infrastructure.

Salary

Base: $126,000 - $423,000 USD annually; Equity: Options and/or restricted stock units included; Benefits: Comprehensive health, dental, vision, life, disability, 401k match, stipends, and PTO

Skills & Requirements

Must-have

  • Hands-on experience with Gaussian splatting
  • Experience with 3D multi-modal foundation models
  • Proficiency in Python and PyTorch
  • Strong computer vision and robotics systems skills
  • Experience with distributed machine learning training

Nice-to-have

  • Industry experience in self-driving applications
  • Passion for building customer-focused software frameworks
  • MSc or PhD in machine learning and computer vision

Key Requirements

  • Hands-on experience in 3D reconstruction or world foundation models
  • Technical expertise in computer vision and robotics systems
  • Background in distributed machine learning model training

Work Rights

Not specified

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