Reddit, Inc.

Senior Machine Learning Engineer

Reddit, Inc.

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $216,700 - $303,400 per year

Job Level

Senior

Tech Stack

AndroidDistributed SystemsiOSKafkaPythonPyTorchScalaSparkTensorflow

About the role

  • Reddit is a community of communities; it’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Reddit has a flexible workforce and remote work options; you can apply to work remotely in any country in which Reddit has a physical presence.\n
  • Reddit Ads encompasses teams like Ads ML Serving, Attribution & Identity, Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization, Ads Marketplace Quality, App Ads and Conversion Modeling, Ads Prediction.\n
  • Role: Machine Learning Engineer on the Ads team, responsible for the full lifecycle of ML systems from research to production.\n
  • Responsibilities: design, build, deploy ML models for ad ranking, bidding, and optimization; own ML lifecycle; feature engineering; cross-functional collaboration; monitoring and retraining pipelines; research new algorithms.\n
  • Required Qualifications: 3+ years of experience; programming in Python/Scala; TensorFlow or PyTorch; cross-functional collaboration; KPI-driven ML impact.\n
  • Pay Transparency: base pay range $216,700–$303,400 USD; comprehensive benefits.\n
  • Reddit’s mission: empower communities and deliver relevant ads while respecting privacy and compliance.

Requirements

  • At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.\n
  • Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.\n
  • Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.\n
  • Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.\n
  • Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.