Senior Staff Machine Learning Systems Engineer, Ads ML Platform

Reddit is a community of communities It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet

Every day, Reddit users submit, vote, and comment on the topics they care most about With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information

For more information, visit www.redditinc.com .

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as youd like. Dont live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence

About Reddit

Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit redditinc.com .

Team Overview

The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate

Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably.

We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement

Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact.

This is a senior technical leadership role for