Research Engineer, Ads AI
Listed on 2026-06-14
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Google, Mountain View, CA, USA
Qualifications- 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.
- 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience with generative AI techniques (e.g., LLMs, RL/SFT on models, Agentic AI, Multi-Modal, etc.) or concepts (language modeling, computer vision).
- Master's degree or PhD in Computer Science, or related technical fields.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience in statistical modeling, ML or mathematical modeling in industry or in academia.
- Experience in ads.
- Design and implement AI innovations that directly improve core Search Ads products.
- Operate at the intersection of AI research and large-scale product application, enjoying the agility of a start-up environment backed by Google's resources.
- Develop and bring AI solutions to Ads products.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits
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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