Drimva

Quora

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

$220K–$321K

Remote - Multiple Locations +4 · Remote · Staff · Full-time · Posted Oct 22, 2026

Location
Remote - Multiple Locations
United States
Ireland
Canada
& 13 other countries
Experience
6+ years in professional software development in machine learning; 4+ years in Home Feed recommendation systems. Preferred: 6+ years writing Python or C++.
Education
BS, MS, or PhD in Computer Science.

About the job

Own the technical direction and development of Quora’s recommendation systems, including feed retrieval and ranking, while advancing AI-driven content understanding and recommendation surfaces.

What you'll do

  • Lead recommender projects across candidate generation, retrieval, ranking, re-ranking, and optimization; own ML systems end to end.
  • Improve engagement and content quality through online experiments, and set technical direction for feed recommendations.
  • Partner across teams, mentor engineers, and shape AI-assisted development practices.

What they ask for

  • 6+ years of professional software development experience in machine learning.
  • 4+ years building and optimizing Home Feed recommendation systems for social media and user-generated content platforms.
  • Deep knowledge of recommender systems and machine-learning mathematical foundations; experience leading large-scale ML projects end to end with measurable outcomes.
  • BS, MS, or PhD in Computer Science; availability during coordination hours (Mon–Fri, 9am–3pm Pacific Time).

Nice to have

  • 6+ years writing Python or C++; hands-on experience deploying and running generative models at scale.
  • Experience with notifications, email/digest recommendations, or growth and lifecycle modeling; publications at RecSys, KDD, NeurIPS, or ICML.

Pay

$219,989 - $320,613 USD base salary; $282,469 - $329,337 CAD base salary; $263,638 - $307,381 CAD base salary

Tools

Python, C++, LLMs

AI focus

Integrate LLMs and generative models into content understanding and ranking; apply AI-assisted development to increase shipping velocity.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 4, 2026 (UTC)