- Fundamental analysis and understanding of computer vision, machine learning and 3D reconstruction
- Build, simulate and model the performance of computer vision, machine learning, and optical systems for tracking the eye
- Collaborate with researchers and engineers across diverse disciplines
- Communication of research agenda, progress and results
- Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Electrical Engineering, Robotics, Applied Math, Physics or a related STEM field Creativity and quick problem solving capabilities
- Interpersonal skills: cross-group and cross-culture collaboration
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Programming experience in Python
- 2+ years of research experience or equivalent graduate research experience in 3D computer vision, Machine Learning
- Experience generating synthetic data using computer graphics or generative ML, and using synthetic datasets for training and evaluating ML pipelines
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
- Experience with diffusion models, domain adaptation, and image-to-image translation
- Intent to return to degree-program after the completion of the internship
- Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ICCV, ECCV, ICLR, SIGGRAPH, NeurIPS, etc.
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