Tech Lead: Shorts Discovery & ML Recommendations

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

Job summary

Google LLC's Shorts initiative in Mountain View seeks a Tech Lead to steer discovery and ML recommendations for Shorts. You will own end-to-end ML system design and cross-functional collaboration to deliver scalable, high-quality recommendations.

The role emphasizes hands-on leadership, building personalized ranking models, and guiding ML infrastructure and data processing across a distributed team at Google.

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 with speech/voice tech, reinforcement learning, or another ML field.
• 5 years of experience with ML design and ML infrastructure.

Responsibilities

• Contribute to personalized quality recommendations and help build and grow a promising new product within Google, focusing on the discovery/recommendation engine and LLM-based recommendation systems.
• Provide technical leadership on high-impact 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 solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.

Skills

Software development

Testing & launching

Design & architecture

Speech/voice tech

Reinforcement learning

ML infrastructure

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS/ML/AI

Job description

Google LLC's Shorts initiative in Mountain View seeks a Tech Lead to steer discovery and ML recommendations for Shorts. You will own end-to-end ML system design and cross-functional collaboration to deliver scalable, high-quality recommendations.

The role emphasizes hands-on leadership, building personalized ranking models, and guiding ML infrastructure and data processing across a distributed team at Google.