Manager, Machine Learning Engineering, User & Friends
About The Position
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!
Requirements
- Deep understanding of machine learning approaches, algorithms and their application to recommender and search system
- Experience 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 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
- 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
Nice To Haves
- 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
Responsibilities
- 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.
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success!
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
1,001-5,000 employees
