Minimum 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 jobWe 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.
Personalizing our Ads has proven to be extremely successful, and as a result, it is a key objective of entire Ads organization. Join us to be in the centre of this personalization revolution!
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
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.
