Technical Lead, Discover Ranking & ML Systems

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

Job summary

Google LLC in Mountain View, CA is seeking a Technical Lead Manager for Discover Ranking to supervise a team of engineers building large-scale ranking and recommendation systems. You will shape technical direction, design systems, and drive delivery across cross-functional partners.

The role emphasizes ML infrastructure, production models, and collaboration with researchers and software engineers. In-person interviews are typical; compensation includes base pay, bonus, equity, and benefits.

Qualifications

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

Skills

Software development experience

Testing and launching software

Design and architecture

Recommendation systems

ML design & infrastructure

AI/LLM integration

Education

Bachelor’s degree or equivalent practical experience

Job description

Google LLC in Mountain View, CA is seeking a Technical Lead Manager for Discover Ranking to supervise a team of engineers building large-scale ranking and recommendation systems. You will shape technical direction, design systems, and drive delivery across cross-functional partners.

The role emphasizes ML infrastructure, production models, and collaboration with researchers and software engineers. In-person interviews are typical; compensation includes base pay, bonus, equity, and benefits.