Staff Software Engineer: Declarative ML Feature Generation Platform

6 days ago


Palo Alto, California, United States Snapchat Full time
About the Role

The Snap Inc. ML Feature Generation Team is seeking a highly skilled Staff Software Engineer to join our team of talented engineers. Our team is responsible for building the declarative ML Feature Generation platform at Snap, which allows users to declare new feature specs, register them into Feature Registry, read data from different data sources by processing 10+ trillion events daily, generate final feature values, and vend them for online model inference and offline model training.

About the Responsibilities

As a Staff Software Engineer on our team, you will drive technical direction for the team to accelerate ML iteration speed, identify opportunities by leveraging deep knowledge in big data and ML Infra systems to improve system performance and efficiency, and coach the rest of team members and grow them technically. You will be responsible for building fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day.

About the Qualifications

We are looking for an engineer with deep knowledge about ML data processing pipelines, a proven track record of operating highly-available systems at significant scale, and experience in at least one of the following areas: Big data systems (Spark/Flink) or ML Infra systems (Inference/Training/Feature). A minimum of 11+ years of software development experience, a BS/BA degree in a technical field such as Computer Science or equivalent years of experience, and experience with Java, Golang, and working with distributed ML applications in production are also required.

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