Staff ML Engineer: App Ads Modeling (Remote)

Reddit, Inc.

Northern (KY)

Hybrid

USD 230,000 - 322,000

Full time

24 hours ago
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Benefits offered by this job

Healthcare benefits
Income replacement programs
401k with employer match
Global benefit programs
Family planning support
Mental health & coaching benefits

Job summary

Reddit, Inc. is seeking a Staff-level Machine Learning Engineer to advance its App Ads Modeling within the Ads Ranking org. The role emphasizes end-to-end modeling, embeddings, and contextual signals to improve conversion and app ads performance.

Ideal candidates bring 7+ years in ML, deep learning proficiency (TensorFlow, PyTorch), and a track record in recommender systems or ads ranking. This is a 100% remote US opportunity with comprehensive benefits and equity potential.

Qualifications

  • 7+ years of industry experience in applied ML roles.
  • Strong experience with deep learning architectures and frameworks (TensorFlow, PyTorch).
  • Background in recommendation systems, ads ranking, or similar domains.
  • Experience working with large-scale datasets and complex feature pipelines.
  • Proven track record of delivering high-impact models in production.

Responsibilities

  • Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking.
  • Develop and optimize features including embeddings and contextual signals.
  • Collaborate with product, infra, and data teams for end-to-end deployment and evaluation.
  • Mentor other MLEs and contribute to modeling best practices.
  • Shape long-term modeling vision across domains such as conversion and app ads.

Skills

End-to-end ML
Deep learning
TensorFlow
PyTorch
Recsys experience

Tools

Transformers
Spark

Job description

Reddit, Inc. is seeking a Staff-level Machine Learning Engineer to advance its App Ads Modeling within the Ads Ranking org. The role emphasizes end-to-end modeling, embeddings, and contextual signals to improve conversion and app ads performance.

Ideal candidates bring 7+ years in ML, deep learning proficiency (TensorFlow, PyTorch), and a track record in recommender systems or ads ranking. This is a 100% remote US opportunity with comprehensive benefits and equity potential.

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