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Machine Learning Manager, Feed Ecosystems

Reddit· ML & Search
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Hybrid (Remote United States)$253.3k - $354.6kfull-timePosted 2mo ago

About the role

Engineering Manager leading the Feed Ecosystems team to build recommendation systems that balance personalization, discovery, and ecosystem health across Reddit’s 100,000+ communities.

Responsibilities

  • Define Technical Vision & Strategy: 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.
  • Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact.
  • Cross-Functional Partnership: Work closely with product, design, data science, safety, community, ads, and platform partners to identify opportunities, set expectations, and communicate your team’s work.
  • Technical Execution & Delivery: Oversee the design, development, and optimization of ML systems that improve cold-start relevance, new post and community distribution, community discovery, and feed quality.
  • Quality & Ecosystem Measurement: Help define and operationalize signals for subjective and objective quality, ensuring Feed systems optimize engagement, user value, community health, contribution, and long-term ecosystem outcomes.
  • Platform & Infrastructure Collaboration: Collaborate with platform and infrastructure teams to build scalable AI-powered systems that support discovery, personalization, and healthy content distribution across Reddit.
  • Operational Excellence: Maintain high standards for system performance, reliability, efficiency, and responsible AI practices in alignment with user needs and ecosystem health.
  • Recruiting & Growth: Partner with our recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team.

Qualifications

  • 2+ years of experience leading ML or recommender-systems teams.
  • Hands-on experience with large-scale production ML 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 skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build cross-functional relationships.

Skills

Required:Team LeadershipProduction ML SystemsRecommender Systems

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
Last updated Oct 7, 2026. Interested? Apply on the company site.
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