Technical Lead, YouTube Posts Discovery, Machine Learning and Recommendation

• Define technical strategy and solutions for enhancing YouTube Posts discovery models and systems to accelerate viewer and creator growth while improving user satisfaction.
• Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables. Design, develop, test, and deploy large-scale recommendation models, novel model architectures, and optimize ML infrastructure to drive the growth of the Posts ecosystem.
• Partner with engineering, product, data-science to convert business goals into scalable technical solutions that grow the Posts ecosystem.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach engineers on the team.
• Lead and mentor a team of engineers.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 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 and building architecture in different modeling domains.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• Experience with one or more of the following: large-scale recommendation or search systems, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience in people management, or interest in developing into a people manager.
• Experience of applying machine learning to improve user recommendations through fast experimentation and metric-driven iterations.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 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 and building architecture in different modeling domains.