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Staff Machine Learning Engineer, App Ads Modeling

Reddit· Ads Product & Engineering
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Remote$230k - $322kFull-timePosted 3w ago

About the role

Staff-level ML Engineer role focused on Ads Ranking modeling for Reddit's App Ads, leveraging deep learning and recommender-style modeling to improve conversion-optimized performance across ad domains.

Responsibilities

  • Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
  • Develop and optimize features including embeddings, contextual signals, and cross-session behavior
  • 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.)

Qualifications

  • 7+ years of industry experience, including several years in applied ML roles
  • Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)
  • Strong background in recommendation systems, ads ranking, or similar domains
  • Experience working with large-scale datasets and complex feature pipelines
  • Strong problem-solving and experimentation skills
  • State of the Art models for Ads or Recsys (e.g., Transformers)
  • Knowledge about Recsys or Ads funnel
  • Track record of delivering high-impact models in production settings
  • Comfort collaborating with infra and data teams on feature serving and training pipelines

Skills

Required:Machine Learning ModelingDeep LearningFeature EngineeringProduction MLCollaboration

Benefits

  • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
  • 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
Last updated Oct 7, 2026. Interested? Apply on the company site.
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