over 1 year ago
Base Salary
$130k - $190k/yr
Responsibilities
- Develop offline and online 3D reconstruction solutions using NeRFs, diffusion models, Gaussian Splatting, multiview stereo, TSDF fusion, structure from motion, and SLAM.
- Create robust 3D perception and scene-understanding systems for robotics and autonomous vehicle applications.
- Collaborate with cross-functional teams to refine and scale the 4D labeling platform for cars, humanoid robots, and drones.
- Apply software engineering, testing, and deployment best practices to develop novel work safely and efficiently.
- Explore methods and technologies in 3D vision, neural rendering, and large-scale data processing.
Requirements
- Experience with camera models, multiview geometry, rendering pipelines, and one or more areas including object detection and tracking, pose estimation, depth estimation, panoptic segmentation, 3D reconstruction, visual SLAM, or neural rendering.
- Proficiency in linear algebra, computational geometry, vector calculus, probability theory, and numerical optimization.
- Familiarity with modern deep learning architectures including transformers, diffusion models, autoregressive models, and convolutional neural networks.
- Experience with PyTorch or TensorFlow.
- Experience with real-time graphics, sensor fusion, signal processing, computational photography, or robotics is a bonus.
- Strong software development foundations, including writing clean and maintainable code and following coding, testing, and deployment best practices.
Benefits
- Comprehensive medical, dental, and vision coverage starting Day 1
- Flexible parental leave
- Flexible time off and paid holidays
- Equity awards and a 401(k) retirement savings plan
- Career growth opportunities
- California base salary range of $130,000–$190,000 per year, plus cash, stock awards, and benefits
Tech Stack
PyTorchTensorFlow
Categories
ML EngineeringRobotics