Work on spatial/temporal super-resolution video denoising, deblurring, color correction foreground segmentation and video understanding.

Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

Contribute to the team's on-going efforts in building a complete understanding of the video quality of experience for Meet users.

Drive AI/ML development in the video space, collaborating cross-functionally to translate emerging AI/ML innovations into tangible features that provide users with higher-order video communication capabilities.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages.

3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).