We're looking for a Machine Learning Engineering Manager to join the Web Ads Ranking team at Snap! What you’ll do: • 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 Knowledge, Skills & Abilities: • 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 • Ability to effectively collaborate with stakeholders at all levels, both internally and externally • Proficiency in managing and solving ambiguous problems Minimum 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 "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.  : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include 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! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future. The base salary range for this position is $229,000-$343,000 annually. Zone B: The base salary range for this position is $218,000-$326,000 annually. Zone C: The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.