Software Engineer, Applied Research, YouTube Languages Capabilities

Google Inc.

Mountain View (CA)

On-site

USD 147,000 - 210,000

Full time

5 days ago
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Job summary

Google is hiring a Software Engineer for Applied Research in YouTube Languages Capabilities in Mountain View. You will build next-generation dubbing and captioning tools, leveraging AI/ML to simplify localization for creators.

The role emphasizes scalable, user-facing services and collaboration across teams to bring research to production. Ideal candidates have strong C++ software development experience, ML infrastructure knowledge, and a track record of shipping ML products.

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.

Responsibilities

  • 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.

Skills

C++
ML infrastructure
ML prototyping
User-facing services

Education

Bachelor's degree
Master's degree or PhD

Job description

Software Engineer, Applied Research, YouTube Languages Capabilities

Share Software Engineer, Applied Research, YouTube Languages Capabilities

corporate_fare YouTube place Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

  • 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.
  • Knowledge/interest in video accessibility (dubbing, captions, translations).
About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As 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.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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