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.
Machine Learning • Product Design • Internationalization • Data Science • Personalization
201 - 500 employees
Founded 2009
📱 Media
📚 Education
🤖 Artificial Intelligence
💰 $85M Series D on 2017-04
February 21
🇺🇸 United States – Remote
💵 $183.6k - $267.6k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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.
Machine Learning • Product Design • Internationalization • Data Science • Personalization
201 - 500 employees
Founded 2009
📱 Media
📚 Education
🤖 Artificial Intelligence
💰 $85M Series D on 2017-04
• Quora’s mission is to grow and share the world’s knowledge. • Quora is a remote-first company. • Machine Learning plays an important role in helping Quora. • We have 100+ Machine Learning models in production. • We want to empower all ML engineers at Quora. • You will be part of a small team solving interesting technical problems. • Your work will have a significant impact on Quora's success.
• Ability to be available for meetings and impromptu communication during Quora's “coordination hours” (Mon-Fri: 9am-3pm Pacific Time) • Experience with building and owning end-to-end machine learning or data science-related systems • 2+ years of industry experience in Machine Learning, Infrastructure or related fields • 2+ years of experience writing production code in Python, C++, or similar language • BS or MS in Computer Science, Engineering or a related technical field • Strong communication and inter-personal skills, experience working with ML teams is a plus • Experience working with Kubernetes, Docker, Terraform, or other forms of containerized infrastructure • Hands-on experience with AWS technologies like EC2, EBS, S3, EKS
• medical/dental/vision coverage • equity refreshers • remote work reimbursement • paid time off • employee assistance programs • and more • Benefits are country-specific and may vary.
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🦅 H1B Visa Sponsor
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