Senior Software Engineer, AI/ML, Google Meet
Indexed description
- 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).
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
In this role, you will be experienced in the development of machine learning models or application of AI/ML in the domains of video quality optimization, enhancement or video understanding. You will have a passion for video processing and an interest in applying your expertise to the development of technologies and features that augment the video experience for Meet users.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- 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.
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