Google is looking to solve the problem of developing advanced 3D hand capture systems to enable real-time hand tracking on future XR devices
Requirements
- PhD degree in Computer Science, a related field, or equivalent practical experience
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.)
- Master's degree or PhD in Computer Science or a related technical field
- 2 years of experience with coding
- 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, or deep learning
- Experience with object detection, object tracking, or 3D vision
Responsibilities
- Design scalable, automated pipelines to process multi-view capture data, ensuring efficient handling of 3D assets from raw capture to model training
- Research and develop algorithms for 3D hand reconstruction, ML landmark detection, and parametric model registration to create high-fidelity ground truth hand data
- Work with the team to leverage the captured data to improve the accuracy of XR hand tracking models for challenging scenarios like occlusion and hand object interaction
Other
- Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act
- Must be willing to work in one of the following locations: San Jose, CA, USA; New York, NY, USA; Los Angeles, CA, USA
- Must have a PhD degree in Computer Science, a related field, or equivalent practical experience
- Must have one or more scientific publication submission(s) for conferences, journals, or public repositories
- Google is an equal opportunity workplace and is an affirmative action employer
