Lead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver the most relevant Snapchat ads and drive revenue
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope
Build the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes
Build and grow a high-performing team by raising the bar for engineering and ML excellence, developing talent, and helping shape Snap’s broader machine learning strategy

Bachelor’s in a related technical field such as computer science or equivalent years of experience
8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
1 + year(s) of experience leading machine learning teams that focus on ranking or recommendations
Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
Experience utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging
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.

Manager, Machine Learning Engineering, Web Ads Ranking

Key skills