Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products need to handle information at massive scale, extending beyond web search. The Google Labs Generative Media team is at the forefront of AI innovation, making creativity radically more accessible, useful, and playful. The role will focus on rapidly expanding Flow's capabilities, developing mobile creation and content discovery experiences, and building new solutions that have the potential to transform how users interact with Google.
Requirements
- 5 years of experience with software development in one or more programming languages (e.g., Python, Kotlin).
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture of large-scale systems.
- 3 years of experience with Content ranking systems, recommender algorithms, production ML infrastructure, or a related ML specialization impacting user feeds.
- 3 years of experience with production ML infrastructure (e.g., model deployment/serving, online/offline evaluation, model debugging).
- 5 years of experience with data structures, algorithms, and highly distributed systems design.
- 1 year of experience in a technical leadership role, mentoring engineers or leading significant architectural efforts for production ML systems.
- Experience developing and deploying ML solutions within the generative media domain or for systems that prioritize content safety and accessibility.
Responsibilities
- Build highly scalable production code for content ranking, personalization, and feed generation systems using advanced machine learning techniques.
- Collaborate with cross-functional peers and stakeholders (Product, Design, Trust and Safety) through rigorous design and code reviews to ensure best practices across all machine learning and backend systems (e.g., style guidelines, accuracy, testability, and efficiency).
- Develop and maintain technical documentation, internal guides, and educational content related to content discovery services, ML model deployment pipelines, and service operation procedures.
- Triage and resolve critical product or system issues in the content feed infrastructure; debug, track, and resolve production incidents by analyzing root causes and their impact on service latency, quality, and user experience.
- Design and implement high-impact machine learning solutions, including novel ranking models, abuse detection, and personalization algorithms for content discovery.
Other
- Mountain View, CA, USA; New York, NY, USA
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- Master's degree or PhD in Computer Science or a related technical field.
- Display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
