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Machine Learning Manager, Feed Relevance (Retrieval)

17 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Machine Learning
Apply Now
Reddit

Reddit

Reddit is a diverse network of communities where users engage in content creation, voting, and discussions on a wide range of topics.

Internet Software & Services
1K-5K
Founded 2005
$550M raised
View All Jobs 25

Description

  • Define the technical vision and long-term roadmap for Feed Retrieval.
  • Translate Feed Relevance goals into a focused team roadmap with clear prioritization tradeoffs.
  • Coach, support, and develop the machine learning engineering team.
  • Lead the design, development, and optimization of retrieval systems for personalized feeds.
  • Establish measurement, experimentation, and debugging practices for retrieval quality and impact.
  • Collaborate with ML platform, infrastructure, ranking, safety, and product teams on scalable retrieval systems.
  • Maintain high standards for performance, reliability, latency, cost efficiency, and responsible recommendation practices.
  • Work with cross-functional partners to identify opportunities, set expectations, and communicate team progress.
  • Partner with recruiting to attract, interview, and hire machine learning engineers.

Requirements

  • 2+ years of experience building and managing high-performing ML or recommender-systems teams.
  • Hands-on experience with large-scale production ML systems.
  • Experience with recommender systems, retrieval models, embedding-based systems, sequence models, transformer-based architectures, or LLM-powered recommendation applications.
  • Strong understanding of candidate retrieval, embedding/indexing systems, ranking handoffs, feed personalization, exploration, content quality, and measurement strategies.
  • Ability to develop and communicate technical strategy across ambiguous problem spaces.
  • Passion for building scalable, well-designed, and responsible AI solutions.
  • Strong interpersonal skills and the ability to communicate complex technical topics to diverse audiences.
  • Experience leading ML teams is required; deep domain expertise in recommender systems is preferred.

Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match.
  • Global benefits 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.
  • Equity in the form of restricted stock units, with possible commission depending on the role.

Interested in this position?

Apply directly on the company website

Apply Now

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