
201 - 500 employees
Founded 2009
đą Media
đ Education
đ¤ Artificial Intelligence
đ° $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.
đĽ 1 hour ago
đ United States, Canada â Remote
đľ $97.6k - $139k / year
â° Full Time
âŞď¸ Entry-level
đď¸ Platform Engineer
đŚ H1B Visa Sponsor
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201 - 500 employees
Founded 2009
đą Media
đ Education
đ¤ Artificial Intelligence
đ° $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.
⢠Help build and maintain the core infrastructure that powers Quora's ML platform, ensuring high availability, scalability, and performance ⢠Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRM) to Large Language Models (LLM) ⢠Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models ⢠Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization ⢠Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently ⢠Modernize our feature store so ML engineers can get new features into production faster ⢠Participate in the team's on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform
⢠A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field ⢠Genuine interest in large-scale distributed systems, infrastructure, and machine learning ⢠Knowledge of Python, Go or C++, or the ability to learn them quickly ⢠A passion for learning and always improving yourself and the team around you.
⢠medical/dental/vision coverage ⢠equity refreshers ⢠remote work reimbursement ⢠paid time off ⢠employee assistance programs
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