Manager, Machine Learning Engineering, Web Ads Ranking

We're looking for a Machine Learning Engineering Manager to join the Web Ads Ranking team at Snap!

- 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

- 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

- 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 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

Zone A (CA, WA, NYC) : 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.