Software Engineer, ML Infrastructure, Level 5

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 ML Infra Engineer to join Snap’s Content Marketplace team. The Content Marketplace team owns critical re-ranking layers within the Content Recommender System, supporting Snap’s Content product offering including Friend Stories, Discover Feed and Spotlight. The team builds large-scale ML/Ranking solutions to optimize both viewer-side and creator-side objectives, directly contributing to Snap’s overall Content business success.

What you’ll do:

• Design, implement and operate ML/Ranking feature generation pipelines and feature serving infrastructures 

• Work with Data Scientists and Data Engineering teams to build analytics metrics and iterate the Marketplace experimentation and evaluation framework

• Work with XFN teams of SWEs and MLEs to build and deploy ML models for the Marketplace layer

• Design and implement scalable distributed Content distribution systems

• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products

• You evaluate, appropriately test, and debug your work, striving for high quality

• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

Knowledge, Skills & Abilities:

• Experience with backend services or distributed systems

• Experience with batch/streaming data pipeline

• Experience with common data analytics skills - SQL, dashboards, etc.

• Experience with large-scale user facing A/B testing framework

• Experience with common ML Infra Dev and Ops. Although we don’t require this role to have deep ML algorithmic expertise, the candidate should understand the inputs and outputs of various ML components at training and inference stages, and integrate them with the rest of Recommender system

• You can independently execute on medium sized features, taking a few weeks and multiple PRs to complete

• You understand the operational aspects of your system and may participate in incident or hotfix investigation and resolution

• Ability to collaborate and work well with others

Minimum Qualifications:

• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

• 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ year of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience

• Experience with distributed systems

Preferred Qualifications:

• Domain expertise in Recommender System

• Experience with working on similar Ranking/ML projects in the field of Content Recommendation, Search, Ads, etc.

• Experience wit