Описание

This role is for a Staff Machine Learning Engineer to define the technical future of Quora’s recommendation ecosystem, working on the Quora product.

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 dev velocity

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 outcome
Strong communication and interpersonal skills
BS, MS, or PhD in Computer Science

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

Quora is a privately held, "remote-first" company
This position can be performed remotely from multiple countries around the world
Full-time employment
Salary for US based applicants: $219,989 - $320,613 USD + equity + benefits
Salary for Toronto and Vancouver based applicants: $282,469 - $329,337 CAD + equity + benefits
Salary for all other locations in Canada: $263,638 - $307,381 CAD + equity + benefits
In equity-eligible countries, a flexible equity program where a portion of equity compensation may be taken as cash
A wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more (benefits are country-specific and may vary)

All final candidates will undergo identity verification and a comprehensive background check prior to onboarding

Staff Machine Learning Engineer, Recommendation Systems