Machine Learning Engineer, Answers Relevance

Posted 4hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Machine Learning Engineer improving Reddit’s AI-powered Answers relevance systems. Building retrieval, ranking, embeddings, and LLM features for millions of community-driven conversations.

Responsibilities:

  • Lead ML projects from idea to production
  • Partner with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems
  • Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features
  • Set technical direction and deliver measurable user and business impact
  • Work with partner teams to shape product and technical roadmaps
  • Evaluate new AI/ML approaches and support responsible LLM development
  • Mentor engineers and contribute to long-term ML planning
  • Develop Answers systems that make Reddit content smarter, more relevant, and more helpful

Requirements:

  • 4–12 years of experience building, deploying, and operating ML systems in production
  • Broad knowledge of ML fundamentals and experience applying them in production; expert-level modeling depth isn’t required
  • Experience developing and productionizing models with TensorFlow, PyTorch, or Hugging Face Transformers
  • Experience writing production-quality code, including testing, evaluation, and monitoring
  • Python experience required
  • Golang experience a plus
  • Experience with ML systems such as data pipelines, feature engineering, model training and serving, and production monitoring
  • Strong communication and collaboration skills
  • Record of delivering measurable product impact
  • Experience in one or more of recommendations, search, content understanding, large-scale data and ML infrastructure, large-scale RecSys, retriever models, RAG systems, retrieval methods, LLM evaluation, production LLM features, agentic AI, self-hosted open-weight models, prompt engineering, fine-tuning, post-training, prompt optimization, grounding, instruction following, hallucination reduction, LLM system scaling, safety measures, product success metrics, feedback loops, or human review

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
  • Equity in the form of restricted stock units
  • Medical, dental, and vision insurance
  • Flexible vacation and generous time off for vacation
  • Parental leave
  • Interview recording opt-out opportunity