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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience prototyping and shipping ML products.
- Experience designing and developing services catering user-facing traffic.
Preferred qualifications: - Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience with applied ML and scaling the product.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Knowledge/interest in video accessibility (dubbing, captions, translations).
About the jobAs a member of the Languages Capabilities team, your mission is to make YouTube the best platform for multilingual content. Our team leverages AI to democratize knowledge, making video dubbing and captioning easy and accessible for creators.
You will be developing a next generation dubbing, captioning and video asset localization product on YouTube which leverages the many advances in AI/ML to hide away the complexities around time and language expertise from the creator and give them a simple and easy to use mechanism to dub and localize their content.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Responsibilities - Write and test product or system development code.
- 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).
- Develop an innovative and successful Dubbing experience for YouTube creators that makes it possible to dub at scale with state of the art technology (e.g., Gemini, Omni).
- Collaborate with partner teams, such as Google Deepmind and YouTube Infrastructure teams, on rapid prototyping and bring the research to reality with solutions that can scale across YouTube.
- Establish evaluation frameworks, including AutoRaters to measure and iterate quickly.
