Machine Learning Manager, Feed Relevance (Retrieval)

Reddit is a community of communities, built on shared interests, passion, and trust. It hosts 100,000+ active communities and approximately 130 million daily active unique visitors, making it one of the internet's largest sources of information.

Reddit is looking for an experienced Engineering Manager to lead the Feed Retrieval team. You will lead a high-impact team of Machine Learning Engineers building the systems that identify, retrieve, and shape the candidate inventory powering Reddit's personalized feeds. The team works at the foundation of Feed Relevance: expanding high-quality content Reddit can recommend, improving personalization and discovery, and building scalable ML systems that shape experiences for over 120M+ daily users.

• Define the technical vision and long-term roadmap for Feed Retrieval, aligning large-scale recommender-system investments with Reddit's product, ecosystem, and business objectives.
• Translate broad Feed Relevance goals into a focused team roadmap, making prioritization tradeoffs across model quality, inventory expansion, experimentation velocity, infrastructure cost, and operational reliability.
• Coach and support the development of your team, growing their skills and impact.
• Oversee the design, development, and optimization of retrieval systems that source relevant, diverse, fresh, and high-quality candidates for personalized feed experiences.
• Establish strong measurement, experimentation, and debugging practices to understand retrieval quality, candidate coverage, source incrementality, and downstream impact.
• Collaborate with ML platform, infrastructure, ranking, safety, and product teams to build scalable, low-latency retrieval systems for AI-powered recommendations.
• Maintain high standards for system performance, reliability, latency, cost efficiency, and responsible recommendation practices.
• Work with cross-functional partners to identify opportunities, set expectations, and communicate the team's work.
• Partner with recruiting to attract, interview, and hire diverse and talented machine learning engineers.

• 2+ years of experience building and managing high-performing ML or recommender-systems teams.
• Hands-on experience with large-scale production ML systems, ideally including recommender systems, retrieval models, embedding-based systems, sequence models, transformer-based architectures, or LLM-powered recommendation applications.
• Strong understanding of recommender systems, especially candidate retrieval, embedding/indexing systems, ranking handoffs, feed personalization, exploration, content quality, and measurement strategies.
• Ability to develop and communicate a clear technical strategy across ambiguous problem spaces.
• Passion for developing scalable, well-designed, and responsible AI solutions.
• Strong interpersonal skills and collaborative mindset, with the ability to communicate complex technical topics to diverse audiences.

Base salary range: $253,300—$354,600 USD. Eligible for equity in the form of restricted stock units, and possibly commission. 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.

Apply via the provided link.