Staff Software Engineer, Machine Learning Infrastructure

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 Software Engineer, Machine Learning Infrastructure to join Snap Inc on our Retrieval Infrastructure team! 

What you’ll do:

• Combine strong software engineering principles with machine learning to build scalable retrieval systems (eg, embedding-based retrieval, graph-based retrieval) to power Snap’s recommendation systems

• Build backend infrastructure to perform retrieval at Snap scale (from inference to embedding storage to the serving path) and a control plane to integrate it with machine learning workflows

• Apply state-of-the-art vector search algorithms (HNSW, ScaNN) to improve the precision, recall and scalability of our retrieval systems

• Work with product teams and engineers to make applications of machine learning ubiquitous to Snapchat

Knowledge, Skills & Abilities:

• Ability to collaborate and work well with others

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

• Ability to proactively learn new concepts and apply them at work

• A passion for Snapchat and creativity

Minimum Qualifications:

• Bachelor’s degree in a technical field such as computer science or equivalent experience

• 9+ years industry software engineering experience

• Experience building large scale production machine learning systems or data pipelines

Preferred Qualifications:

• Masters/PhD in a technical field such as computer science or equivalent industry experience

• Experience with backend services or distributed systems

• Experience with building and managing scalable ML infrastructure on cloud platforms

• Experience in MLOps and automations expertise in building, deploying and maintaining models

• Experience building large scale production machine learning systems or data pipelines

• Familiarity with machine learning frameworks such as TensorFlow, 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 information.

"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