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Applied Intuition

Research Scientist - 3D Vision and Generation, Self-Driving

Conducts cutting-edge research in 3D vision, reconstruction, and generation for autonomous driving and robotics, publishes at top conferences, and deploys algorithms to production systems. Requires MSc/PhD in ML/CV, strong publication record, and expertise in Python, PyTorch, CV, and robotics.

126k – 423kSunnyvale, CAAI ResearchOnsiteEntry level
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About the role

Responsibilities

  • Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation.
  • Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences.
  • Collaborate with Research Engineers and engineering teams to test and deploy algorithms to autonomy and simulation products.

Requirements

  • Strong research record in 3D vision, reconstruction and generation for autonomous systems and robotics, with publications in top-tier conferences or journals in computer vision, machine learning, and robotics.
  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields.
  • Passion for next-generation, scalable autonomy and robotics for real-world systems.
  • Strong research skills and ability to work both independently and collaboratively.
  • Technical experience in: Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.

Nice to Have

  • Hands-on experience in at least one of: 3D foundation model and pretraining, multi-modal foundation model, feed-forward Gaussian splatting and reconstruction, world foundation model and generation, 3D/multi-view end-to-end models for autonomous driving or robotics.

Compensation

  • Base salary range: $126,000 - $423,000 USD annually, plus equity and benefits.

Skills

PythonPyTorchComputer Vision3D VisionMachine LearningRoboticsGaussian SplattingFoundation ModelsMulti-Modal ModelsDistributed Training

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