Staff ML Engineer — Personalization & Search

Socket.dev; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is hiring software engineers to develop next-generation personalization technologies. You will work on models for neural retrieval, clustering, and ranking to power Discover in Search. Roles involve handling scale, elasticity, and integration across product surfaces.

The team focuses on user modeling, retrieval, and generation with opportunities to impact billions of users across Google products. Collaboration and leadership are valued.

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 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.

Responsibilities

• Design and implement personalized user models to optimize for user happiness, including Neural Deep Retrieval Models and ranking models.
• Build user and content clustering models to enable core personalization and ranking use cases.
• Enhance model performance and personalization through advanced modeling techniques and feature engineering.
• Scale model applications to multiple modalities and use cases (retrieval, ranking, content generation, diversification).
• Create next-generation realtime ML models and scale training and serving to billions of users.

Skills

Software development

Recommendation systems

Model architecture

ML design

ML infrastructure

Software testing

Product launch

Software design & architecture

End-to-end delivery

Data structures & algorithms

ML for recommender systems

Clustering algorithms

SQL

C++

TensorFlow

Research experience

Education

Bachelor’s degree or equivalent practical experience

Tools

C++

Dremel/F1

TensorFlow

Job description

Google is hiring software engineers to develop next-generation personalization technologies. You will work on models for neural retrieval, clustering, and ranking to power Discover in Search. Roles involve handling scale, elasticity, and integration across product surfaces.

The team focuses on user modeling, retrieval, and generation with opportunities to impact billions of users across Google products. Collaboration and leadership are valued.