Senior Software Engineer, AI/ML, Flow, Content Discovery

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 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).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 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.

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.

As a part of the Google Labs Generative Media team, we are at the forefront of AI innovation, making creativity radically more accessible, useful, and playful. The team has launched Google’s earliest generative AI technologies including MusicLM, ImageFx, Imagen3 + Veo, and Flow, an exciting new product enabling AI video creators to generate high-quality content for professional use cases like film and entertainment. In this role, you will rapidly expand Flow's capabilities, focusing on developing mobile creation and content discovery experience.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

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.