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Applied IntuitionApplied IntuitionSunnyvale, CA

Research Scientist

Research Scientist developing cutting-edge 3D vision, reconstruction, and generation models (including foundation models and Gaussian splatting) for autonomous driving and robotics. Requires strong publication record in CV/ML/robotics, MSc/PhD, and experience with PyTorch and computer vision.

126k – 423k/yr
On-siteAI Research

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 with broader applications.
  • 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 our autonomy and simulation products.

Requirements

  • Strong research record in the fields of 3D vision, reconstruction and generation for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of 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 the ability to work both independently and collaboratively on projects.
  • Technical experience in: Python, PyTorch, computer vision, robotics systems, and distributed machine learning model training.

Nice-to-Haves

  • Hands-on experience in at least one of the following fields:
    • 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 and Benefits

Base salary range for this full-time position: $126000 - $423000 USD annually. Total compensation package may also include equity, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

Skills

3d visiongaussian splattingmulti-modal pretrainingworld foundation modelsComputer VisionPyTorchPythonrobotics systemsDistributed TrainingMachine Learning

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