Manager, Machine Learning Engineering, User & Friends

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 , a visual messaging app that enhances your relationships with friends, family, and the world;

, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .teams build fun and technically sophisticated products that reach hundreds of millions of Snap chatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why 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 , Skills & Abilities:
* 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

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 Tensor Flow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some ."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. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate.

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression,…