Staff Software Engineer, ML Data Infrastructure

Google LLC

San Bruno, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Artificial Intelligence (AI) Programming Languages, C++ Programming Language, Cloud Computing, Communication Skills, Computer Skills, Computer Storage Hardware, Data Management, Data Processing, Data Storage, Distributed Computing, English Language, Equal Employment Opportunity (EEO), Federal Government, Genetics, Government, Hardware Architecture, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Leading Edge Technology, Natural Language Processing (NLP), Network Architecture/Engineering, Network Design, Network Operations Center, Operations Management, Optical Engineering, Optical Networking, Problem Solving Skills, Product/Service Launch, Program Planning, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Sales, Security Architecture, Software Architecture, Software Architecture Design, Software Engineering, Supply Chain Management, Team Player, Technical Leadership, Technical Support, Telecommunications, Testing, Training/Teaching, Use Cases, User Interface Design, YouTube
LOCATION
San Bruno, CA
POSTED
30+ days ago

Staff Software Engineer, ML Data Infrastructure - Google Careers

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Staff Software Engineer, ML Data Infrastructure

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

  • Bachelor"s degree or equivalent practical experience.

  • 8 years of experience programming in C++.

  • 5 years of experience testing, and launching software products.

  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

  • 3 years of experience with software design and architecture.

Preferred qualifications:

  • Experience building large-scale data infrastructure, frameworks or libraries.
  • Understanding of ML concepts, including model architecture and training.
  • Ability to collaborate effectively across teams and functions.
  • Solid communication (broadly and deeply) skills about recommendation technology, system design and implementation.

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.

The YouTube Discovery Data team is responsible for the data that powers personalized discovery at YouTube -- the YouTube homepage, watch page, and dozens of other surfaces that allow users to discover content on YouTube. Hundreds of engineers across YouTube use these data sources to train and serve more than a thousand ML models, including the use of LLMs for personalized discovery at YouTube scale. Some of our current products include YouTube watch history, discovery training data, discovery sessions, the YouTube user data dump.

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.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Enable next-generation model architectures and training procedures.
  • Write and maintain large-scale data processing pipelines in C++.
  • Propose and secure buy-in from our clients to build new infrastructure for the evolving training data use-cases.
  • Reduce complexity and fragmentation in the ML training infrastructure by providing standardized, composable, and self-service infrastructure solutions.
  • Collaborate closely with other infrastructure teams working on recommendations quality, storage, logging and privacy. Debug data quality and infrastructure issues across the stack.

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 and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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