ML Engineer, GenAI Ads, Search Personalization

Google; Mountain View (CA); On-site; USD 207,000 - 301,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity and bonuses

Job summary

Google Inc. is looking for a Machine Learning Engineer for the GenAI Ads and Search Personalization team in Mountain View, CA. In this role, you will engage in developing and deploying state-of-the-art personalization models that enhance the user experience across Google Search Ads.

Qualified candidates will possess a strong background in software development, programming, and machine learning, evidenced by significant experience with recommendation systems and tooling. Compensation includes a competitive salary, bonuses, equity, and comprehensive benefits.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 8 years of experience with general purpose programming languages.
• 5 years of experience in building recommendation systems.

Responsibilities

• Focus on personalization in the Generative AI space.
• Collaborate with GenAI teams to create and execute goals.
• Write ads creatives to account for user tasks and preferences.

Skills

Software development

Programming languages (Java, C/C++, Python)

Machine Learning

Recommendation systems

Education

Bachelor’s degree or equivalent

Tools

TensorFlow

SQL

Dremel/F1

Job description

ML Engineer, GenAI Ads, Search Personalization

Google Mountain View, CA, USA

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 8 years of experience with one or more general purpose programming languages (e.g., Java, C/C++, or Python).
• 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred Qualifications

• 8 years of experience with data structures and algorithms.
• 6 years of experience with Machine Learning (ML) or quality, working on recommendation systems.
• Experience in recommender systems, clustering algorithms, SQL, and deep model.
• Experience in C++, Dremel/F1, and TensorFlow.
• Experience in Research.
• Ability to drive quality projects end-to-end from design to implementation to eventual launch.

About the job

We are the core team responsible for Search Ads Personalization. Our personalization models and infrastructure permeate through every part of Search Ads – from Ad Retrieval, Ranking, Auction and Creative writing. As a result, our problems are challenging both in depth (understanding nuances of user’s needs) and breadth (scale across entire Google Search user base). We work on modeling user preferences and tasks using a myriad of technologies embedding models, language models, as well as building real-time and large scale inference infrastructure.

Key Responsibilities

• Focus on personalization (P13N) in the Generative AI space (ads on AIM, personalized ads creatives).
• Collaborate across GenAI teams in Ads Quality and GDM to create and execute on a goal/roadmap to ensure that our users feel connected with our GenAI Ads.
• Work on writing ads creatives or ad explanations to account for user tasks and preferences.

Compensation & Benefits

US: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits.

Learn more about benefits at Google.

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.

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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.