Machine Learning Engineering Team Lead for Personalized Content

7 days ago

Seattle, Washington, United States Snap Full time
About the Role

At Snap, we're building a team of talented engineers to drive innovation in personalized content. As a Machine Learning Engineering Team Lead, you'll be responsible for leading a high-performing team of machine learning engineers and software engineers in developing and optimizing our personalized video recommendation engine.

The ideal candidate will have a deep understanding of machine learning approaches, algorithms, and their application to recommender systems. You'll define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability. Additionally, you'll drive rapid iteration without compromising quality, working closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system.

You'll also evaluate technical tradeoffs in key decision-making processes to ensure optimal outcomes. This includes conducting A/B testing and analyzing performance metrics to continuously improve the recommender system. Furthermore, you'll perform design and code reviews to raise the technical excellence bar.

What We're Looking For
  • Deep understanding of machine learning approaches, algorithms, and their application to recommender systems
  • Experience setting the direction for teams focused on developing online ranking and recommendation models
  • Strong management and mentorship skills, fostering a collaborative and innovative team culture
  • Excellent verbal and written communication skills, with meticulous attention to detail
  • Ability to effectively collaborate with stakeholders at all levels, both internally and externally
  • Proficiency in managing and solving ambiguous problems
Requirements
  • Bachelor's in a related technical field such as computer science or equivalent years of experience
  • 8+ years of ML industry experience
  • 2+ years of experience leading machine learning teams that focus on ranking and/or recommendations
Benefits

We offer a comprehensive benefits package, including paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success. In the United States, work locations are assigned a pay zone which determines the salary range for the position. The base salary range for this position is $222,000-$333,000 annually.

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