Responsibilities:

• Conduct applied research in computer vision and machine learning (person semantic understanding, novel view synthesis, non-rigid tracking, etc.)
• Work towards long-term ambitious research goals while identifying intermediate milestones.
• Apply relevant AI and machine learning techniques to build intelligent visual systems that improve Client products and experiences.
• Advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes.
• Develop novel, accurate AI algorithms and advanced systems for large scale applications.
• Define use cases and develop methodology and benchmarks to evaluate different approaches.

Minimum Qualifications:

• Research background in machine learning, deep learning, computer vision, or related fields.
• 3 years experience in developing and debugging in Python, C/C , C#, or similar programming language.
• 3 years experience in theoretical and empirical research and addressing research problems.
• Experience working with PyTorch.

Preferred Qualifications:

• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices
• Experience in deep learning concepts such as Generative Adversarial Networks, Latent Diffusion, and Transformers
• Experience working and communicating cross functionally in a team environment.
• Experience with distributed systems or on-device algorithm development.
• Experience in face, hand or body reconstruction and tracking.
• Experience contributing to AI Publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.