Machine Learning Engineer (Egocentric 3D Human Pose)
Santa Clara, California, United States
USD 150K-213K (estimate) Mid-level Full Time
Tasks
- Align coordinate frames
- Build 2D and 3D keypoint estimation models
- Build MANO hand pose estimation pipelines
- Build SMPL and SMPLX pose estimation pipelines
- Build annotation evaluation and quality assurance pipelines
- Collaborate with robotics engineers for motion retargeting data
- Deploy large scale perception pipelines
- Design camera geometry and calibration pipelines
- Develop 3D body pose estimation models
- Develop 3D hand pose estimation models
- Fuse multi view data for pose estimation
- Handle self occlusion motion blur rolling shutter artifacts
- Improve temporal consistency with filtering and kinematic constraints
- Integrate multi modal sensors
- Optimize model training and inference pipelines for production
- Perform stereo calibration and triangulation
- Reconstruct full body motion from video
Perks/Benefits
- 401k retirement plan
- Company holidays
- Dental insurance
- Medical insurance
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
3D CNN | 3D Pose Estimation | Camera Calibration | Camera Model | Computer Vision | Coordinate Transformation | Fisheye Camera | Fisheye Camera Model | Hand pose estimation | Human Motion Tracking | Human motion | Inverse kinematics | Kinematic constraints | MANO | Machine Learning | Markerless Motion Capture | Motion capture | Motion tracking | Multi View Fusion | Multi-view Geometry | Pose Estimation | Projection models | PyTorch | Python | SMPL | SMPLX | Stereo calibration | TensorFlow | Triangulation | Video Transformers | Wide FOV Camera
Education
Regions
Countries
States
Cities
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