Tech Lead, Posts Discovery & ML Systems

Google; San Bruno (CA); On-site; USD 207,000 - 301,000; Full time

Job summary

Google is seeking a Technical Lead for YouTube Posts Discovery in San Bruno, CA. The role focuses on growing and improving Posts discovery models and systems, leading a team of AI/ML software engineers, and delivering scalable solutions across YouTube surfaces.

Responsibilities include defining technical strategy, partnering with cross-functional teams, and mentoring engineers while driving viewer and creator growth through advanced recommendation techniques.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production.

Responsibilities

• Define technical strategy and solutions for enhancing YouTube Posts discovery models and systems.
• Provide technical leadership on high-impact projects; manage priorities, deadlines, and deliverables.
• Design, develop, test, and deploy large-scale recommendation models and ML infrastructure.
• Partner with engineering, product, data‑science to translate business goals into scalable technical solutions.
• Lead and mentor a team of engineers.

Skills

Software development

Technical leadership

Recommendation systems

Stakeholder influence

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS or related field

Job description

Google is seeking a Technical Lead for YouTube Posts Discovery in San Bruno, CA. The role focuses on growing and improving Posts discovery models and systems, leading a team of AI/ML software engineers, and delivering scalable solutions across YouTube surfaces.

Responsibilities include defining technical strategy, partnering with cross-functional teams, and mentoring engineers while driving viewer and creator growth through advanced recommendation techniques.