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RedditRedditU

Senior Machine Learning Manager, Video Ranking

Leads machine learning engineering teams responsible for relevance, personalization, and video discovery systems serving Reddit’s core product. Requires 5+ years managing ML teams, hands-on experience with production ML systems, and strong recommender-systems expertise.

266k – 372k/yr
Remote5+ YOEEngineering Management

About the role

Responsibilities

  • Define the technical vision and long-term roadmap for feed relevance, aligning machine learning solutions with product and business objectives.
  • Coach and develop a team of machine learning engineers.
  • Partner with cross-functional teams to identify opportunities, set expectations, and communicate the team’s work.
  • Oversee the design, development, and optimization of relevance, discovery, and content distribution systems.
  • Collaborate with platform and infrastructure teams on next-generation AI-powered solutions.
  • Maintain high standards for system performance, reliability, efficiency, and responsible AI practices.
  • Partner with recruiting to attract, interview, and hire machine learning engineers.

Requirements

  • 5+ years of experience building and managing high-performing machine learning teams.
  • Hands-on experience with large-scale production machine learning systems, including transformer-based architectures, sequence models, or large language models.
  • Strong understanding of recommender systems, including candidate retrieval, ranking, value modeling, ecosystem dynamics, and measurement strategies.
  • Ability to develop and communicate technical strategy aligned with broader company objectives.
  • Passion for scalable, well-designed, and responsible AI solutions that drive business value.
  • Strong interpersonal, communication, and collaboration skills, including the ability to explain complex technical topics to diverse audiences.

Compensation and Benefits

  • Base salary range: $266,000–$372,400 USD.
  • Equity in the form of restricted stock units; some positions may also be eligible for commission.
  • 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.

Skills

Machine Learningrecommender systemstransformer architecturessequence modelsLLMscandidate retrievalrankingvalue modelingmeasurement strategiesresponsible ai
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