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Senior Staff ML Engineer, Search & Recommendation

266k – 372kUnited StatesRemote10+ YOE
Summary

Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.

About the role

What You’ll Do

  • Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience.
  • Deeply understand the Reddit search product and drive the vision for the search relevance team.
  • Enhance core search retrieval and ranking, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components. Deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process.
  • Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges.
  • Mentor and guide senior and staff engineers in the team.
  • Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap.

Who You Are

  • 10+ years of industry experience with deep expertise in large-scale search and recommendation systems.
  • Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in search relevance.
  • Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.
  • Experience working with LLM in production, including evaluation, tuning and deployment.
  • In-depth knowledge and experience working with lexical and semantic retrieval systems.
  • Proficiency in object-oriented programming (Python, Golang).
  • Nice to have: experience building production Agentic AI frameworks.

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
Skills
PyTorchTensorFlowLLMPythonGolangRetrieval SystemsSearch EnginesRAGMachine LearningSemantic Search
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