Staff ML Engineer, Personalization & Search

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Machine Learning Staff Software Engineer for Search Personalization in Mountain View, CA. You will lead the design and deployment of large-scale recommender models and ML infrastructure to power personalized search experiences across Google products.

You’ll work with a team to build powerful user models, enable end-to-end ML pipelines, and deliver high-quality, scalable solutions that impact billions of users globally.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience building and deploying recommendation systems models in production.
• 5 years of experience with ML design and ML infrastructure.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Responsibilities

• Design and implement personalized user models to optimize for user happiness, including Neural Deep Retrieval Models, Deep Neural Network Ranking/Scoring models, User/Content Clustering Models, and more.
• Build user and content clustering models to enable core personalization and ranking use cases.
• Enhance model performance and personalization precision/recall through advanced modeling techniques and feature engineering.
• Scale the model's applications to a multitude of modalities and use cases (retrieval, ranking, content generation, diversification).
• Create next-generation realtime ML models that can capture new user interests and world trends and scale model training and serving to billions of users.

Education

Bachelor’s degree or equivalent practical experience

Tools

C++

Dremel/F1

TensorFlow

SQL

Job description

Google is seeking a Machine Learning Staff Software Engineer for Search Personalization in Mountain View, CA. You will lead the design and deployment of large-scale recommender models and ML infrastructure to power personalized search experiences across Google products.

You’ll work with a team to build powerful user models, enable end-to-end ML pipelines, and deliver high-quality, scalable solutions that impact billions of users globally.