Manager of Machine Learning Engineering (Web Ads Ranking)

Join Snap Inc. as a Machine Learning Engineering Manager for the Web Ads Ranking team. Lead a team of machine learning and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver relevant Snapchat ads and drive revenue. Collaborate with product teams to define the architecture and vision of the system, and build an evaluation framework for rapid iteration and high-quality decision-making. Grow a high-performing team and shape Snap's broader machine learning strategy. Enjoy a comprehensive benefits package, including generous time off, medical coverage, and retirement plans.

• Diriger une équipe d'ingénieurs en apprentissage automatique et d'ingénieurs logiciels pour construire des systèmes d'indexation, de récupération et de classement à grande échelle.
• Collaborer avec les équipes produit pour définir l'architecture et la vision du système, et faire évoluer l'équipe au-delà de la portée initiale.
• Construire et développer une équipe performante en élevant le niveau d'excellence en ingénierie et en apprentissage automatique.
• Ability to effectively collaborate with stakeholders at all levels, both internally and externally
• Proficiency in managing and solving ambiguous problems
• Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging
• Excellent verbal and written communication skills, with meticulous attention to detail
• Strong management and mentorship skills, fostering a collaborative and innovative team culture
• Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
• 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 teams that focus on ranking or recommendations
• Experience with real-time recommendation or search ranking systems
• Experience with building LLM based information retrieval or tagging system
• Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Ability to proactively learn new concepts and apply them at work
• Experience working with machine learning, ranking infrastructures, and system designs
• Experience working with distributed systems