Google's Chrome browser aims to become more intelligent, personalized, and proactive. The Chrome Intelligence Infrastructure team needs to build Generative AI and non-Generative AI Machine Learning infrastructure and capabilities to achieve this strategy, impacting billions of users by enabling quick incorporation of intelligence into Chrome features.
Requirements
- 2 years of software development experience in one or more general-purpose programming languages (e.g., C++, Java, Python, Go).
- Experience with the software development life-cycle, including testing, deployment, and maintenance.
- Experience contributing to the design of software systems or features, along with working on codebases.
- Experience contributing to code bases like Chromium.
- Experience with machine learning concepts, tools, and frameworks (e.g., TensorFlow, TFLite).
- Experience with ML infrastructure, such as model serving platforms, data pipelines, or ML operations.
- Experience in ML performance, large-scale systems data analysis, ML debugging, LLMs, or specialized areas within ML.
Responsibilities
- Build and maintain scalable and reliable ML infrastructure to support on-device and server-side intelligence features in Chrome, contributing to design discussions with guidance from executive engineers.
- Develop and optimize systems for model management, serving, and execution, potentially including components within Google3 (e.g., using Go, C++, Java) and Chromium (C++).
- Collaborate with Chrome feature teams to understand requirements and integrate ML solutions into the Chrome browser.
- Contribute to the design and implement components of larger projects, potentially owning smaller end-to-end tasks under supervision.
- Enhance the performance, efficiency, and monitoring of our ML systems and services, while contributing to code health, system maintainability, and documentation.
Other
- Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
- Preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA.
- 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.
- 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.
