Software Engineer, Applied Research, YouTube Languages Capabilities

• Write 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.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 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 fields.
  
• 2 years of experience with data structures or algorithms.
• 2 years of experience with applied ML and scaling the product.
• Experience developing accessible technologies.
  
• Knowledge/interest in video accessibility (dubbing, captions, translations).

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience prototyping and shipping ML products.
• Experience designing and developing services catering user-facing traffic.