Senior Engineering Manager, YouTube, Recommendations ML

YouTube; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google LLC is seeking a Senior Engineering Manager for YouTube Recommendations ML based in Mountain View, CA. You will lead large-scale ML initiatives, guide cross-functional teams, and align product and research roadmaps to drive performance and user experience.

You will coach engineers across multiple disciplines, own project goals and budgets, oversee deployment of recommender systems, and influence infrastructure choices for efficiency and scale across sites worldwide.

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience designing and building large-scale machine learning models.
• 8 years of experience building, testing, maintaining, and launching software products that require running and analyzing experiments and working with user data.
• 5 years of experience in a people management, supervision/team leadership role.
• Experience creating and aligning cross-organizational technical roadmaps across multiple software engineering, research, product management, and data science teams.
• Experience conducting research or applied research on recommender systems models or in related areas (e.g., ranking, retrieval, or user).

Responsibilities

• Set and communicate team priorities that support the broader organization's goals.
• Set clear expectations with individuals based on their level and role and align to broader goals; provide feedback and coaching.
• Develop long-term technical goals and roadmaps within and beyond team scope; evolve roadmaps for future needs.
• Oversee system designs within the broader area and review code to solve problems.
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee recommender systems design.

Skills

Machine learning

Large-scale systems

Experimentation

Leadership

Cross-functional collaboration

Roadmap planning

Research in recommender systems

LLMs

Education

Bachelor's degree in CS or related field

Master's degree or PhD in CS or related field

Tools

Python

TensorFlow/PyTorch

ML infrastructure

Hardware co-design

Job description

Senior Engineering Manager, YouTube, Recommendations ML

Share Senior Engineering Manager, YouTube, Recommendations ML

YouTube Mountain View, CA, USA

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

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience designing and building large-scale machine learning models.
• 8 years of experience building, testing, maintaining, and launching software products that require running and analyzing experiments and working with user data.
• 5 years of experience in a people management, supervision/team leadership role.

Experience creating and aligning cross-organizational technical roadmaps across multiple software engineering, research, product management, and data science teams.

Experience conducting research or applied research on recommender systems models or in related areas (e.g., ranking, retrieval, or user).

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience guiding research programs in relevant areas for small teams.
• Experience with hardware ML model ML, and framework co-design.
• Experience optimizing compute or hardware capacity.
• Publications in Recommender Systems, LLM’s, large model performance and efficiency.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

In this role, you will guide large machine learning (ML) models for recommender systems. You would be expected to have solid expertise in machine learning technology and continue to develop and innovate in the areas of ranking, retrieval and large language models (LLM). Building such models, analyzing user data for gaps and opportunities and evaluation of model architectures at the intersection of model/hardware/infrastructure co-design for performance and efficiency are likely activities. You would likely focus on a workstream Google calls Large Recommender Models, involving using Semantic IDs and leveraging Gemini-based LLM models for especially difficult recommendation use cases.

You would be involved in aligning research directions with cross-YouTube and cross-product area partners, and manage a small team.

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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  
• Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  
• Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
  
• Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of advanced recommendation systems.
  

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.