Manager, Machine Learning Engineering, Web Ads Ranking

About the role

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.

Responsibilities

• 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

Requirements

• Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
• Experience on 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
• Able to effectively collaborate with stakeholders at all levels, both internally and externally
• Ability to effectively solve ambiguous problems

Qualifications

• 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

Preferred Qualifications

• Experience with real-time recommendation or search ranking systems
• Experience with building LLM based information retrieval or tagging system
• Experience working with distributed systems
• Experience working with machine learning, ranking infrastructures, and system designs
• Ability to proactively learn new concepts and apply them at work
• Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks