Staff Machine Learning Engineer, Recommendation Systems

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $220k - $320.6k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Logo of Quora

Quora

201 - 500 employees

Founded 2009

📱 Media

📚 Education

🤖 Artificial Intelligence

💰 $85M Series D on 2017-04

Media • Education • Artificial Intelligence

Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.

📋 Description

• Define the technical direction for Quora’s home feed recommendation systems • Lead high-impact projects across the recommender stack, from candidate generation and retrieval through ranking, re-ranking, and multi-objective optimization • Drive measurable improvements in user engagement and content quality through online experiments • Own ML systems end-to-end, including data pipelines, candidate extraction, feature engineering, model training, and production integration • Identify opportunities to apply machine learning across the Quora product • Partner with product, data science, and infrastructure teams on priorities and tradeoffs • Mentor engineers and raise standards for code quality, modeling rigor, and AI-assisted development velocity • Write production code as a high-leverage individual contributor • Shape how the team uses AI-assisted development to accelerate shipping velocity • Work on the Quora product, including recommendation surfaces such as notifications and digest emails

🎯 Requirements

• Availability for meetings and impromptu communication during Quora’s coordination hours, Monday–Friday, 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 candidate generation, retrieval, ranking, re-ranking, embeddings, and multi-objective optimization • Deep understanding of the 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 • Preferred: 6+ years of experience writing Python or C++ code • Preferred: Hands-on experience deploying and running generative models at scale • Preferred: Background in notifications, email/digest recommendations, or growth and lifecycle modeling • Preferred: Flexible and positive team player • Preferred: Publications at venues such as RecSys, KDD, NeurIPS, or ICML • Preferred: Passion for Quora’s mission and goals • Must complete identity verification and a comprehensive background check prior to onboarding

🏖️ Benefits

• Medical, dental, and vision coverage • Equity refreshers • Remote work reimbursement • Paid time off • Employee assistance programs • Flexible equity program in equity-eligible countries, allowing a portion of equity compensation to be taken as cash • Benefits vary by country • Identity verification and comprehensive background check prior to onboarding

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