Machine Learning Manager, Snap

• We're looking for a Machine Learning Engineering Manager to join a Ranking Machine Learning team at Snap!
• Deep understanding of machine learning approaches, algorithms and their application
• 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
• Bachelor’s in a related technical field such as computer science or equivalent years of experience
• 8+ years of machine learning industry experience
• 2+ years of experience leading machine learning teams that focus on ranking and/or recommendations (tech lead or manager)
• Experience working with machine learning, ranking infrastructures, and system designs

Desirable

• Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day
• We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do
• We move fast, with precision, and always execute with privacy at the forefront
• Lead a team of machine learning engineers and software engineers in developing and optimizing solutions across some of the most iconic Snap functionality, such as Bitmoji avatar customization and the Map
• Educate and collaborate with various teams across Snap to integrate and leverage new signals that this team generates and maintains
• Define the overall architecture of these solutions, ensuring scalability, performance, and reliability
• Drive rapid iteration without compromising quality: work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system
• Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes: conduct A/B testing and analyze performance metrics to continuously drive impact
• Perform design and code reviews to raise technical excellence bar