Senior Software Engineer, NotebookLM, AI​/ML, Labs

Senior Software Engineer, Notebook

LM, AI/ML, Labs

Google Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience building and deploying Generative AI models (e.g., LLMs, diffusion models) in production.

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience developing and optimizing machine learning algorithms for personalization, ranking, and content recommendation.

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.

Notebook

LM is a tool for understanding the information that matters most to you, and it lets you create things to help others understand.

Notebook

LM is using generative AI to transform how people learn, understand and share information. We are an ambitious team that has driven some of Google’s most popular launches. We are growing the team thoughtfully with an aim towards maintaining our creative, innovative culture and fast pace of launches and expanding our focus to make Notebook

LM the best place to discover, share, and engage with information.

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 time frames.

The US base salary range for this full-time position is $166,000-$244,000 + 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.

• Drive the technical strategy, design, and implementation of the search and discovery platform specifically for public notebooks.
• Build and rank shared content for a feed designed to create a healthy, active, and deep engagement experience that helps users discover new information and accomplish their goals.
• Be able to rapidly prototype and launch new discovery and engagement features, such as feeds and search, starting from broad ideas and making them production-ready.
• Work closely with product, design, and user research teams to define and build compelling, user-friendly AI experiences.
• Apply machine learning and Large Language Models (LLMs) to recommend new forms of content and inspire users with high-quality remix experiences and community building.

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…