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

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · AI Research

Research Engineer focused on 3D vision and generation for physical AI applications like autonomous driving and robotics. The role involves conducting research on foundation models, multi-modal pretraining, and Gaussian splatting, with a goal of publishing research and deploying algorithms for mass production vehicles and autonomy development tools.

What you'd actually do

  1. Conduct research on 3D vision related topics including 3D foundation model, multi-modal pretraining, Gaussian splatting, world foundation model with applications to autonomous driving
  2. Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
  3. Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

Skills

Required

  • Python
  • Pytorch
  • computer vision
  • robotics systems
  • distributed machine learning model training

Nice to have

  • Industry experience on relevant topics (self-driving application preferred)
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
  • Passion for building and shipping customer-focused software frameworks or tool

What the JD emphasized

  • 3D foundation model
  • multi-modal pretraining
  • Gaussian splatting
  • world foundation model
  • video generation
  • end-to-end algorithms for mass production vehicles
  • neural simulation/generation

Other signals

  • 3D foundation model
  • multi-modal pretraining
  • Gaussian splatting
  • world foundation model
  • video generation
  • end-to-end algorithms for mass production vehicles
  • neural simulation/generation