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Senior Machine Learning Engineer

Reddit· ML & Search
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Remote$216.7k - $303.4kfull-timePosted 10mo ago

About the role

Senior- and expert-level ML engineer role at Reddit, focused on building end-to-end production ML systems at internet scale across Consumer and Ads, including recommendations, search, ranking, advertising systems, content understanding, and LLM-driven experiences. Remote in the United States.

Responsibilities

  • Design, build, and deploy production-grade machine learning models and systems at scale
  • Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
  • Build scalable data and model pipelines with strong reliability, observability, and automated retraining
  • Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
  • Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
  • Improve system performance across latency, throughput, and model quality metrics
  • Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
  • Contribute to technical strategy, architecture, and long-term ML roadmap

Qualifications

  • 3-5+ years of experience building, deploying, and operating machine learning systems in production
  • Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
  • ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
  • Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
  • Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
  • Experience improving measurable metrics through applied machine learning

Skills

Required:Production-grade ML models and systemsML lifecycleData and model pipelinesLarge-scale datasetsCross-functional collaborationML techniques

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
Last updated Oct 7, 2026. Interested? Apply on the company site.
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