Senior Software Engineer, Applied Research, YouTube Languages Capabilities

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is hiring a software engineer to build next-generation dubbing, captioning, and video asset localization for YouTube. You will leverage AI/ML to simplify time/language challenges for creators across multilingual content. You’ll work on scalable, state-of-the-art solutions with cross-team collaboration.

Join the Languages Capabilities team to push the frontier of video localization and accessibility at scale while partnering with DeepMind and infrastructure teams to ship impactful features.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more languages.
• 3 years testing, maintaining, or launching software products; 1 year in design/architecture.
• Experience prototyping and shipping ML products.
• Experience designing and developing services for user-facing traffic.
• Master’s/PhD preferred in CS or related field.
• 3 years ML infrastructure experience including deployment, evaluation, and data processing.
• Experience with applied ML and scaling products.
• 1 year in a technical leadership role.

Responsibilities

• Write and test product or system development code.
• Collaborate through design and code reviews to ensure best practices across technologies.
• Develop a dubbing and captioning experience for YouTube that scales with AI/ML.
• Collaborate with teams like Google DeepMind and YouTube Infrastructure on rapid prototyping.
• Establish evaluation frameworks to measure and iterate quickly.

Skills

Software development

Testing & deployment

ML prototyping

System design

User-facing services

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Job description

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 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .