Staff Software Engineer, Generative AI

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Android, Android Applications, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Bootstrap, Channel Strategies, Cloud Computing, Computer Science, Computer Vision, Construction, Cross-Functional, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Ecosystems, English Language, Equal Employment Opportunity (EEO), Fonts, Genetics, Information Retrieval, Information/Data Security (InfoSec), Integration Testing, Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Matrix Management, Modeling Languages, Multiplatform/Cross-Platform, Natural Language Processing (NLP), Needs Assessment, Network Design, Network Operations Center, Open Source, Open Source Programming Languages, Operations Management, Operations Security (OPSEC), Organizational Skills, Product Management, Product Shipments, Product/Service Launch, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Software Administration, Software Architecture, Software Architecture Design, Software Development, Software Engineering, Speech Recognition, Stock Purchase Plans, Systems Administration/Management, Technical Leadership, Test Plan/Schedule, Testing, Time Management, Usability Engineering, User Interface Design, YouTube
LOCATION
Sunnyvale, CA
POSTED
2 days ago

Staff Software Engineer, Generative AI - Google Careers

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Staff Software Engineer, Generative AI

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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 in software development.

  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

  • 2 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 3 years of experience in a technical leadership role; separately envisioning, bootstrapping and driving projects, setting roadmap and leading adjacent engineers with a track record of deliveries.
  • Experience shipping products powered by AI/ML.
  • Experience with the open-source local large language model stack and ecosystem.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

On-device Machine Learning (ODML) is central to Google"s product portfolio. The most unique experiences on Pixel, and Android today are already powered by on device Machine Learning - Speech Recognition, Camera, and Assistant/Translation.

Google offers low-level ODML frameworks like TensorFlow Lite and MediaPipe to run machine learning on Android, iOS, Web, and other mobile/embedded devices. It is now deployed across 4 billion+ devices, in 25000+ Android apps, powering marquee features in Android, Search, Photos, Assistant, YouTube, and more. To continue growth and drive the next-generation of ML functionality, we are investing in improving overall usability, on-device performance, and the developer experience across all platforms

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Help bootstrap a brand new effort to bring the performance of LiteRT-LM to agentic systems.
  • Understand where the open-source third-party ecosystem is going and influence the direction of LiteRT-LM to enable the most developer friendly integrations with popular agentic systems.
  • Understand the needs of first-party teams and build common infrastructure to enable the ability to use local Large Language Models (LLMs) from first-party products.
  • Develop the necessary infrastructure from local API servers, agent harnesses, end-to-end integration tests and evals to build a production-ready local LLM solution.
  • Full stack development to enable local LLMs with LiteRT-LM for first-party and third-party products.

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.

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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