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Senior Staff Machine Learning Engineer (Feed Relevance)

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Onsite

Senior Staff Machine Learning Engineer (Feed Relevance)

Reddit

Senior Staff Machine Learning Engineer (Feed Relevance)

Skills

Machine Learning

2 months ago

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Important information


Contract type:

Permanent

Salary:

$266,000 – $372,400 / year

Location:

United States

Work mode:

Onsite

Published on:

19 August 2026

What they need


  • As a Senior Staff Machine Learning Engineer, Feed Relevance, you’ll drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data, and dynamic engagement patterns
  • Your deep modeling expertise will directly shape the core architectures behind feed ranking, enabling breakthrough personalization for tens of millions of users
  • Deliver on technical initiatives that have significant company-wide impact
  • Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs
  • Work with management on goal setting, planning, and de-risking critical projects
  • Mentor and grow Senior and Staff engineers
  • Create a strong healthy engineering culture

Benefits

  • Comprehensive health benefits
  • Flexible vacation & Reddit global days off
  • Family planning funds & 4+ months paid parental leave
  • Personal & professional development funds
  • Paid volunteer time off
  • Workspace & home office benefits- High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org
  • Experience in influencing organizations on technical direction/best practices
  • Strong focus on user experience, usability, scalability, reliability and quality. You are an undying advocate for the user, and you have a deep intuition for how people & machines interact with software at scale
  • Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can
  • 10+ years of industry experience building systems for relevance driven products
  • Deep understanding of how to build sustainable software systems at a large scale engineering organization
  • Experience working with cross-functional teams such as design, product, business & data teams to deliver great experiences

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