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Machine Learning Manager, Feed Ecosystems

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteMid LevelTeam 501-1,000Since 2005H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$253.3K - $354.6K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglish

Job Description

Machine Learning Manager, Feed Ecosystems

Reddit, Inc.

• Define the technical vision and long-term roadmap for Feed Ecosystems. • Coach and support the development of your team. • Work closely with product, design, data science, safety, community, ads, and platform partners. • Oversee the design, development, and optimization of ML systems. • Help define and operationalize signals for subjective and objective quality. • Collaborate with platform and infrastructure teams to build scalable AI-powered systems. • Maintain high standards for system performance, reliability, efficiency, and responsible AI practices. • Partner with our recruiting team to attract, interview, and hire diverse and talented machine learning engineers.

Job Requirements

  • 2+ years of experience building and managing high-performing 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, compelling 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 strong relationships with cross-functional partners.

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

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