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 – 423k
On-siteEntry levelAI 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.
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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