Machine Learning Engineering Manager
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. 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.
We're looking for a Machine Learning Engineering Manager to join the User & Friends 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 system to deliver best Snapchat content to drive user growth
- 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 system to drive rapid iteration and high-quality decision making : work closely with Data Science and Product partners to define success metrics.
- Build and grow a high-performing team : uplevel the team's engineering and ML excellence, and influence the company-wide ML strategy.
Knowledge, Skills & Abilities :
Deep understanding of machine learning approaches, algorithms and their application to recommender and search systemExperience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging.Experience Search Engine Optimization.Strong management and mentorship skills, fostering a collaborative and innovative team cultureExcellent verbal and written communication skills, with meticulous attention to detailAbility to effectively collaborate with stakeholders at all levels, both internally and externallyProficiency in managing and solving ambiguous problemsMinimum Qualifications :
Bachelor's in a related technical field such as computer science or equivalent years of experience8+ years of post-Bachelor's ML industry experience; or a Master's degree in a technical field7+ year of post-grad ML experience; or a PhD in a related technical field4+ years of post-grad ML experience1 + year(s) of experience leading machine learning teams teams that focus on ranking or recommendationsPreferred Qualifications :
Experience with real-time recommendation or search ranking systems.Experience with building LLM based information retrieval or tagging systemExperience working with distributed systemsExperience working with machine learning, ranking infrastructures, and system designsAbility to proactively learn new concepts and apply them at workExperience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks