Staff Software Engineer, Discovery Ranking & ML Systems

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

Job summary

Google Mountain View is seeking a Staff Software Engineer for Discover Ranking to design and build systems that personalize content for hundreds of millions of users. You will work with massive datasets and advanced ML models to improve how we rank and recommend articles and videos, aiming to make the Discover feed more engaging for everyone.

The role emphasizes ownership, cross-functional collaboration, and technical leadership across full-stack development, with opportunities to influence

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 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).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical leadership on projects. Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
• Lead the design and implementation of recommendation systems, optimize ML infrastructure, and guide the development of model architecture.

Education

Bachelor's degree or equivalent practical experience

Tools

Recommendation systems

ML infrastructure

Large-scale systems

Generative AI / LLM

Job description

Google Mountain View is seeking a Staff Software Engineer for Discover Ranking to design and build systems that personalize content for hundreds of millions of users. You will work with massive datasets and advanced ML models to improve how we rank and recommend articles and videos, aiming to make the Discover feed more engaging for everyone.

The role emphasizes ownership, cross-functional collaboration, and technical leadership across full-stack development, with opportunities to influence