Remote ML Manager - Feed Ecosystems & Discovery

Devconnectplatform; United States; Remote; USD 253,000 - 355,000; Full time

Benefits offered by this job

Healthcare benefits

401k with employer match

Generous leave & parental leave

Mental health & coaching benefits

Job summary

Reddit is seeking an Engineering Manager to lead the Feed Ecosystems team of ML engineers. You will shape the technical vision for personalization across 100,000+ communities, coach a talented team, and collaborate with product, safety, data science, and platform partners to deliver scalable ML systems.

The role emphasizes balancing user relevance, community health, and long-term ecosystem quality while driving high-impact delivery and responsible AI practices.

Qualifications

• Experience leading ML teams to build production systems.
• Deep ML expertise in recommender or personalization domains.
• Ability to translate vague goals into a clear technical strategy.
• Proven impact-driven approach balancing user value and ecosystem health.
• Excellent communication with product, design and data teams.

Responsibilities

• Define the technical vision and long-term roadmap for Feed Ecosystems.
• Coach and develop a high-impact ML team of engineers.
• Partner with product, data science, safety and platform teams.
• Oversee design, deployment, and optimization of ML systems for relevance and discovery.
• Define signals and metrics to balance engagement with ecosystem quality.
• Collaborate with platform/infrastructure to scale AI-powered systems.
• Drive recruiting and growth to build a world-class team.

Skills

ML leadership

Production ML systems

Recommender systems

Strategic thinking

Cross-functional collaboration

Job description

Reddit is seeking an Engineering Manager to lead the Feed Ecosystems team of ML engineers. You will shape the technical vision for personalization across 100,000+ communities, coach a talented team, and collaborate with product, safety, data science, and platform partners to deliver scalable ML systems.

The role emphasizes balancing user relevance, community health, and long-term ecosystem quality while driving high-impact delivery and responsible AI practices.