Senior Machine Learning Engineer, Ranking

🕒 October 9

🇺🇸 United States – Remote

💵 $189.5k - $274.6k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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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

• Improve existing machine learning ranking models using core coding skills and ML knowledge • Take end-to-end ownership of machine learning 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 • Work with other machine learning engineers to implement algorithms and systems efficiently • Own and advance the second-phase ranking model behind feed and digest • Develop methodologies that other developers will build on top of

🎯 Requirements

• Availability for meetings and impromptu communication during Quora's “coordination hours” (Mon-Fri: 9am-3pm Pacific Time) • 3+ years of professional experience working on recommendation or ranking models • Good understanding of mathematical foundations of machine learning algorithms • Previous experience building end-to-end machine learning systems • Good communication and interpersonal skills • BS, MS, or PhD in Computer Science, Engineering, or a related technical field • Preferred: 5+ years of experience writing Python or C++ code • Preferred: Experience with generative recommendation systems • Preferred: Experience with user behavior or user sequence modeling, transformers, or long sequence modeling applied to ranking • Preferred: Experience with leading large-scale multi-engineer projects • Final candidates must undergo identity verification and a comprehensive background check prior to onboarding

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Equity refreshers • Remote work reimbursement • Paid time off • Employee assistance programs • Flexible equity program in equity-eligible countries, where a portion of equity compensation may be taken as cash

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