Staff ML Engineer, Search Ads Shopping Relevance Models

Google Inc.; Mountain View (CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Google Staff ML Engineer in Mountain View, CA leads ML design and ML infrastructure efforts for Shopping Relevance Models. You will own model development, evaluation, and deployment with cross-functional collaboration across ads, search, and data teams.

The role requires strong coding in Python and C++, experience with ML systems, and a track record of delivering scalable ML solutions. This position emphasizes leadership and impact across complex projects.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in Python or C++.
• 5 years of experience testing and launching software products.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 5 years of experience with ML techniques including speech/audio, RL, ML infrastructure, or related ML field.
• 3 years of experience with software design and architecture.

Responsibilities

• Collaborate on user journey understanding, metric and label formulation, feature and model improvements, live traffic experiments, data analysis, tools and infrastructure.
• Train machine learning models and explore features, architectures, and hyperparameters to improve accuracy.
• Implement code and tests for model training and backend serving.
• Run ads experiments and develop experiment metrics.
• Perform model, experiment, and human evaluation analyses.

Skills

Python

C++

ML design

ML infrastructure

Model deployment

Model evaluation

Data processing

Debugging

Experimentation

Leadership

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering, CS, or related technical field

Tools

REX

Job description

Staff ML Engineer, Search Ads Shopping Relevance Models

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Google Mountain View, CA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Staff ML Engineer, Search Ads Shopping Relevance Models

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• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in Python or C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with software design and architecture.

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 an organization involving cross-functional, or cross-business projects.
• Knowledge of modern machine learning techniques including deep learning and LLMs.
• Knowledge of statistics and experiment design.

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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Shopping Search Ads aims to make Google the best place for users’ purchases, price-comparison, and shopping informational needs. Our features and models impact the shopping commercial unit on google.com, often the top of the page for a shopping-related query. We also impact commercial units on image search, where users may have a more visual or in-depth shopping journey.

Our mission is to improve the matches between users' queries and tasks and the product listing ads that we show. We use state of the art machine learning techniques to predict human ratings of ads and incorporate those predictions into filtering and ranking of ads.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Shopping Search Ads aims to make Google the best place for users’ purchases, price-comparison, and shopping informational needs. Our features and models impact the shopping commercial unit on google.com, often the top of the page for a shopping-related query. We also impact commercial units on image search, where users may have a more visual or in-depth shopping journey.

Our mission is to improve the matches between users' queries and tasks and the product listing ads that we show. We use state of the art machine learning techniques to predict human ratings of ads and incorporate those predictions into filtering and ranking of ads.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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

• Collaborate on user journey understanding, metric and label formulation, feature and model improvements, live traffic experiments, data analysis, tools and infrastructure, and more, to predict and improve user experience on search ads.
• Train machine learning models and explore model features, architectures, and hyperparameters in order to continuously improve model accuracy, in particular Gemini model(s). Own and lead efforts to push our modeling, data or serving to new dimensions.
• Implement code and tests for model training (Python, C++, e.g. on top of REX) and backend code and tests for model serving (in C++) and logging.
• Run ads experiments and develop experiment metrics, if needed. Interpret, understand, and integrate a wide variety of metrics related to user experience and quality.
• Perform model, experiment, and human evaluation analyses including writing custom analysis tools if needed.

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, and 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.