Staff Machine Learning Engineer, Recommendation Systems - Quora (Remote)

Requirements

  • Availability for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time)
  • 6+ years of professional software development experience in machine learning
  • 4+ years of professional experience building and optimizing Home Feed recommendation systems for social media and user-generated content platforms
  • Deep knowledge of the full recommender stack: candidate generation, retrieval, ranking, re-ranking, embeddings, and multi-objective optimization
  • Deep understanding of mathematical foundations of machine learning algorithms
  • Experience leading large-scale ML projects end-to-end with measurable outcomes
  • Strong communication and interpersonal skills
  • BS, MS, or PhD in Computer Science

Nice to Haves

  • 6+ years of experience writing Python or C++ code
  • Hands-on experience deploying and running generative models at scale
  • Background in notifications, email/digest recommendations, or growth and lifecycle modeling
  • Flexible and positive team player
  • Publications at venues like RecSys, KDD, NeurIPS, or ICML
  • Passion for Quora's mission and goals

What You'll Be Doing

  • Set the technical direction for Quora’s home feed recommendation systems
  • Lead the highest-impact projects across the recommender stack, from candidate generation and retrieval to ranking, re-ranking, and multi-objective optimization
  • Drive measurable improvements in user engagement and content quality through well-designed online experiments
  • Take end-to-end ownership of ML systems, including data pipelines, candidate extraction, feature engineering, model training, and production integration
  • Identify new opportunities to apply machine learning to different parts of the Quora product
  • Partner with product, data science, and infrastructure teams to align on priorities and tradeoffs
  • Mentor engineers and lead by example, raising the bar for code quality, modeling rigor, and AI-assisted development velocity

Perks and Benefits

  • Medical, dental, and vision coverage (country-specific)
  • Equity refreshers and a flexible equity program in eligible countries allowing partial cash compensation
  • Remote work reimbursement
  • Paid time off
  • Employee assistance programs
  • Competitive salary ranges based on location (e.g., US: $219,989 - $320,613 USD; Toronto/Vancouver: $282,469 - $329,337 CAD; other Canada: $263,638 - $307,381 CAD)
AI Summary ✨

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