Senior Software Engineer, AI/ML, YouTube

Google Inc.

San Bruno (CA)

On-site

USD 174,000 - 253,000

Full time

14 days+

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Benefits offered by this job

15% bonus target
Equity options
Comprehensive benefits package

Job summary

Google Inc. is seeking a Senior Software Engineer specializing in AI/ML for YouTube in San Bruno, California. This role involves developing technologies that change user interaction and requires at least 5 years of programming experience in Python and C++. Candidates should have strong skills in software testing, ML infrastructure, and more.

The position offers a competitive salary ranging from $174,000 to $253,000, with additional bonuses and equity options, fostering an innovative work environment at the cutting edge of technology.

Qualifications

  • 5 years of experience with programming in Python and C++.
  • 3 years of experience testing, maintaining, or launching software products.
  • 3 years of experience with ML infrastructure.

Responsibilities

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders in design and code reviews.
  • Triage product or system issues and debug/track/resolve.

Skills

Programming in Python
Programming in C++
Software testing and maintenance
Speech/audio technology
Reinforcement learning
ML infrastructure

Education

Bachelor's degree or equivalent
Master's degree or PhD in Computer Science or related field

Job description

Senior Software Engineer, AI/ML, YouTube

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Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with programming in Python and C++.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with one or more of the following: Speech/audio (technology duplicating and responding to the human voice), reinforcement learning (sequential decision making), ML infrastructure, or specialization in another ML field.
  • 3 years of experience with ML infrastructure (model deployment, model evaluation, optimization, data processing, debugging).
Preferred Qualifications
  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
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. 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.

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

Responsibilities
  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices among 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.
  • Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Compensation & Benefits

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Equity

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.

EEO Statement

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.

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