Reddit, Inc.

Senior Staff Machine Learning Engineer, Ads Ranking

Reddit, Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $266,000 - $372,400 per year

Job Level

Senior

About the role

  • Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking models.
  • Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
  • Own experimentation strategy: offline metrics, A/B design, readouts, and “next iteration” planning.
  • Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis.
  • Mentor other MLEs and contribute to modeling best practices across the org.
  • Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.).

Requirements

  • 9+ years industry experience in ML Engineering / Applied ML.
  • Demonstrated impact: leading cross-team technical initiatives and influencing technical direction.
  • Strong fundamentals in ML systems end-to-end.
  • Excellent communication: can explain tradeoffs clearly to both technical and non-technical stakeholders.
  • Proven track record shipping DNN-based ranking/recs/ML models to production with measurable impact.
  • Strong understanding of loss/labeling, sampling, calibration, bias/variance, train/serve skew, and online experimentation.
  • Comfortable mentoring other engineers and raising modeling quality through reviews and technical guidance.
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdeep neural networkstransformersmodel deploymentA/B testingperformance analysisembeddingscontextual signalscross-session behaviormodeling best practices
Soft skills
communicationmentoringtechnical leadershipcollaborationinfluencingexplaining tradeoffscross-team initiativestechnical guidanceraising modeling qualityplanning