Machine Learning Manager, Feed Ecosystems

Details

Reddit is looking for an experienced Engineering Manager to lead the Feed Ecosystems team. The team builds recommendation systems that support sustainable growth across users, posts, and communities. Its work includes improving relevance for new, low-signal, and logged-out users; helping new posts and communities find the right audiences; and developing machine learning systems that balance personalization, discovery, and ecosystem quality across Reddit's 100,000+ active communities.

Responsibilities

• Define the technical vision and long-term roadmap for Feed Ecosystems, aligning recommender-system investments with Reddit's goals around user growth, contribution, community health, and high-quality discovery.
• Coach and support the development of the machine learning engineering team, seeking opportunities to grow team members' skills and impact.
• Work closely with product, design, data science, safety, community, ads, and platform partners to identify opportunities, set expectations, and communicate the team's work.
• Oversee the design, development, and optimization of machine learning systems that improve cold-start relevance, new post and community distribution, community discovery, and feed quality.
• Help define and operationalize subjective and objective quality signals, ensuring feed systems optimize for user value, community health, contribution, and long-term ecosystem outcomes in addition to engagement.
• Collaborate with platform and infrastructure teams to build scalable AI-powered systems supporting discovery, personalization, and healthy content distribution across Reddit.
• Maintain high standards for system performance, reliability, efficiency, and responsible AI practices in alignment with user needs and ecosystem health.
• Partner with the recruiting team to attract, interview, and hire diverse and talented machine learning engineers.

Requirements

• At least 2 years of experience building and managing high-performing machine learning or recommender-systems teams.
• Hands-on experience with large-scale production machine learning systems, ideally including recommender systems, personalization, cold-start modeling, content understanding, or LLM-powered recommendation applications.
• Strong understanding of recommender systems, including candidate retrieval, ranking, value modeling, ecosystem dynamics, and measurement strategies.
• Ability to develop and communicate a clear technical strategy across ambiguous problem spaces, balancing user relevance, community growth, content quality, safety, and business impact.
• Passion for developing scalable, well-designed, and responsible AI systems that improve user value while supporting a healthy and sustainable content ecosystem.
• Strong interpersonal, communication, and collaboration skills, including the ability to communicate complex technical topics to diverse audiences and build strong 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, caregiving, and other lifestyle needs.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Equity in the form of restricted stock units; some positions may also be eligible for commission.

The base salary range for this position is $253,300-$354,600 USD. Reddit provides additional benefits to U.S.-based employees, including medical, dental, and vision insurance, a 401(k) program with employer match, vacation, and parental leave. In select roles and locations, interviews may be recorded, transcribed, and summarized by artificial intelligence, with an option to opt out before scheduled interviews. Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.