Software Engineer III, AI/ML, YouTube

Google; Town of Montana (WI); On-site; USD 147,000 - 211,000; Full time

Job summary

Google is seeking a Software Engineer III for AI/ML on YouTube to drive scalable ML solutions. You will work across Python/C++ codebases, contribute to model deployment and evaluation, and collaborate with teams expanding AI capabilities in video search and recommendations.

The role emphasizes leadership, mentoring, and owning parts of large-scale systems while aligning with Google's privacy, security, and accessibility standards.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python and C++.
• 1 year of experience with one or more of: Speech/audio; Reinforcement learning; ML infrastructure.
• 1 year of experience with ML infrastructure (model deployment, evaluation, data processing, debugging).

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and update with product changes.
• Triage product or system issues and debug/track/resolve issues affecting hardware, network or services.
• Implement solutions in one or more ML areas, utilize ML infrastructure, and optimize data processing.

Skills

Python

C++

ML

Speech/audio

Reinforcement learning

ML infrastructure

Education

Bachelor's degree or equivalent

Master's or PhD preferred

Tools

ML frameworks (TensorFlow/PyTorch)

Job description

Software Engineer III, AI/ML, YouTube

Location: Mountain View, CA, USA; San Bruno, CA, USA

Experience Level: Mid

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience programming in Python and C++.
• 1 year 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.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience developing accessible technologies.

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.

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.

Salary

Salary (US): $147,000 - $211,000 (USD) + 15% bonus target + equity + benefits.

Learn more about benefits at Google.

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).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Note

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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

Equity is granted exclusively and discretionally 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.