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Staff Machine Learning Engineer, Consumer

Reddit· ML & Search
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Remote$230k - $322kfull-timePosted 7mo ago

About the role

Staff ML Engineer role to drive Reddit’s ML ecosystem across recommendations, search, messaging, and AI systems. Lead end-to-end ML initiatives from ideation to production, shaping technical strategy and product direction with cross-functional teams.

Responsibilities

  • Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions
  • Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities
  • Drive measurable impact on user engagement, discovery, and long-term value
  • Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities
  • Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge
  • Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment
  • Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing
  • Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making

Qualifications

  • 7+ years of experience building, deploying, and operating machine learning systems in production
  • Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc)
  • Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers
  • Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang
  • Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring
  • Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions
  • Track record of driving measurable impact through applied machine learning in real-world products

Skills

Required:End-to-end ML system developmentML model development (Transformers, GNN)Production ML engineering (Python, Golang)

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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