Staff Software Engineer - Content Delivery

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 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 it's 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.

The Content Relevance Team is responsible for building state-of-the-art content recommendation systems to power Snapchat’s Content products including Friend Story, Discover Feed and Spotlight. Snap’s content product is one of the world’s largest content products and is growing rapidly. As disclosed in Snap’s 2024 Q3 earnings, total time spent watching content grew 25% YoY and Spotlight reached 500M (+21% YoY) monthly active users. The Content Recommendation system is at the front and center of fulfilling this mission of building Snap’s Content ecosystem, and we build large-scale Data and ML/Ranking systems to optimize the experience for both viewers and creators.

We are looking for a Staff Software Engineer with deep knowledge about large-scale Recommendation systems, and preferably with relevant experience from building Content/Ads/Search products. This Engineering Lead will optimize and design key components of our Content Delivery & Recommendation stack, which includes Indexing, Retrieval, Feature Management, Feature Serving, Online ML/Ranking System, Marketplace, etc. The engineer will drive technical direction for the team to solve the top challenges described above. We also expect the staff engineer to coach the rest of team members technically, and collaborate with XFN partners.

What you’ll do:

• Drive technical direction for the team in building large-scale content delivery and recommendation systems

• Identify opportunities by leveraging deep knowledge in content recommendation and ML / Ranking systems

• Coach the rest of team members and grow them technically

Knowledge, Skills & Abilities:

• Deep knowledge about large-scale recommendation and ML/Ranking systems

• Proven track record of operating highly-available systems at significant scale

• Experience in at least one of the following areas:

  • Retrieval Systems (Indexing, Retrieval, ANN Embedding Based Retrieval System)

  • Large-scale ML Feature Management & Serving

  • Online Ranking Serving System (ML Inference, Ranking, Marketplace)

  • Full-stack