Machine Learning Manager, Feed Relevance (Retrieval)

Details

Reddit is looking for an experienced Engineering Manager to lead the Feed Retrieval team. The team builds machine learning systems that identify, retrieve, and shape candidate inventory for Reddit's personalized feeds. This work focuses on expanding high-quality content recommendations, improving personalization and discovery, and building scalable ML systems serving more than 120 million daily users.

Responsibilities

• 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 Feed Relevance goals into a focused team roadmap, prioritizing model quality, inventory expansion, experimentation velocity, infrastructure cost, and operational reliability.
• Coach and support the development of the team while growing its skills and impact.
• Oversee the design, development, and optimization of retrieval systems that source relevant, diverse, fresh, and high-quality candidates for personalized feeds.
• Establish measurement, experimentation, and debugging practices covering 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 machine learning engineers.

Requirements

• At least 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 and 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 while balancing user relevance, ecosystem health, system scalability, and business impact.
• Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
• Strong interpersonal, communication, and collaboration skills, including the ability to communicate complex technical topics to diverse audiences and build relationships with cross-functional partners.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs supporting workspace, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Eligibility for equity in the form of restricted stock units and, depending on the position offered, potentially commission.
• U.S.-based employee benefits including medical, dental, and vision insurance.

Additional Information

The base salary range for this position is $253,300–$354,600 USD. Final offers may vary based on skills, depth of work experience, and relevant licenses or credentials. Interviews may be recorded, transcribed, and summarized by artificial intelligence, with the option to opt out before a scheduled interview. Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.