Lead ML Engineer, Feed Ecosystems & Discovery

EngineersOfAI

United States

Sur place

USD 180 000 - 240 000

Plein temps

14 jours+

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Résumé du poste

Reddit is seeking an experienced Engineering Manager to lead the Feed Ecosystems team. You will guide a high-impact group of ML engineers building recommendation systems that support growth across communities.

You’ll balance personalization, discovery, and ecosystem quality while improving relevance for new and logged-out users. Join a mission-driven environment where collaboration with product, safety, data science, and platform partners shapes scalable AI-powered systems that support healthy

Qualifications

  • 2+ years leading ML or recommender-systems teams.
  • Hands-on production ML experience with large-scale systems.
  • Knowledge of retrieval, ranking, and value modeling in recommender ecosystems.
  • Strategic thinking to align ML work with product goals.

Responsabilités

  • Define the technical vision and long-term roadmap for Feed Ecosystems.
  • Coach and develop your team, enabling growth and impact.
  • Partner with product, design, data science, safety, community, ads, and platform teams.
  • Oversee ML system design and optimization for cold-start, new posts, and discovery.
  • Define quality signals and optimize for engagement, user value, and health.
  • Collaborate with platform and infrastructure teams on scalable AI-powered systems.
  • Maintain high standards for performance, reliability, and responsible AI.
  • Partner with recruiting to hire world-class ML engineers.

Connaissances

Experience leading ML teams
Deep ML expertise
Technical domain knowledge: recommmend
Strategic thinking

Description du poste

Reddit is seeking an experienced Engineering Manager to lead the Feed Ecosystems team. You will guide a high-impact group of ML engineers building recommendation systems that support growth across communities.

You’ll balance personalization, discovery, and ecosystem quality while improving relevance for new and logged-out users. Join a mission-driven environment where collaboration with product, safety, data science, and platform partners shapes scalable AI-powered systems that support healthy

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