Staff Machine Learning Engineer, Notifications Relevance

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 .

The Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app)

We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer.

Reddit is home to some of the most valuable and engaging conversations on the internet As a Staff Machine Learning Engineer on Notifications Relevance , youll serve as a technical leader for one of Reddits highest-leverage ML systems, helping millions of users discover relevant content, communities, and conversations every day

Youll drive the strategy, architecture, and execution of large-scale recommendation systems spanning targeting, budget optimization, retrieval, ranking, measurement, and emerging LLM-powered experiences

This role offers the opportunity to shape the future of engagement and retention at Reddit while pushing the boundaries of personalization and machine learning at massive scale.

What You’ll Do

Contribute to advancing Reddits growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience

Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components

You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integrat