Staff ML Software Engineer, YouTube Shorts Discovery, Funnel Growth Team

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's YouTube Shorts Discovery team seeks a Staff ML Software Engineer to help shape the recommendations powering Shorts for billions of views. You will lead design and implementation across retrieval, ranking, and embeddings, influencing how users discover and engage with content.

The role combines advanced ML with large-scale systems, cross-functional leadership, and hands-on coding. In Mountain View, you’ll collaborate with research, infra, and product teams to push the boundaries of

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production.

Responsibilities

• Guide the development of personalized, high-quality recommendations that will directly shape the YouTube Shorts experience for millions of users.
• Drive significant viewer growth by designing ML technologies and algorithms to enhance Shorts recommendation quality across Home, Watch Next, Shorts First, Notifications.
• Gain experience across the entire recommendation system stack.
• Drive cross-team and cross-functional collaborations.

Skills

Recommendation systems

ML engineering

Large-scale systems

Information retrieval

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS or related field

Job description

Staff ML Software Engineer, YouTube Shorts Discovery, Funnel Growth Team

Share Staff ML Software Engineer, YouTube Shorts Discovery, Funnel Growth Team

corporate_fare YouTube place Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.

3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.

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 in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Guide the development of personalized, high-quality recommendations that will directly shape the YouTube Shorts experience for millions of users.
• Drive significant viewer growth by designing and implementing ML technologies and algorithm to enhance shorts recommendation quality across major YouTube surfaces, including Home, Watch Next, Shorts First, Notifications.
• Gain experience across the entire recommendation system stack.
• Drive cross-team and cross-functional collaborations.

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 .

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.

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.