Senior Staff Machine Learning Engineer, Feed Relevance

Reddit is a community of communities, built on shared interests, passion, and trust. It is home to the most open and authentic conversations on the internet, with 100,000+ active communities and approximately 130 million daily active unique visitors.

As a Senior Staff Machine Learning Engineer, Feed Relevance, you will drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data, and dynamic engagement patterns. Your deep modeling expertise will directly shape the core architectures behind feed ranking, enabling breakthrough personalization for tens of millions of users.

• Deliver on technical initiatives that have significant company-wide impact.
• Set technical direction for the broader Relevance and Feeds teams at Reddit, identifying opportunities and influencing strategy across multiple orgs.
• Work with management on goal setting, planning, and de-risking critical projects.
• Mentor and grow Senior and Staff engineers.
• Create a strong healthy engineering culture.

• 10+ years of industry experience building systems for relevance driven products.
• Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can.
• Deep understanding of how to build sustainable software systems at a large scale engineering organization.
• Experience in influencing organizations on technical direction/best practices.
• Experience working with cross-functional teams such as design, product, business & data teams to deliver great experiences.
• Strong focus on user experience, usability, scalability, reliability and quality.
• High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org.

Base salary range: $266,000—$372,400 USD. Eligible for equity in the form of restricted stock units. Benefits include comprehensive healthcare, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health & coaching benefits, flexible vacation & paid volunteer time off, and generous paid parental leave.