
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.
🔥 6 minutes ago
🏈 North America – Remote
💵 $107.4k - $152.9k / year
⏰ Full Time
⚪️ Entry-level
🤖 Machine Learning Engineer
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• Build and iterate on consumer-facing AI features powered by large language models (LLMs) and related generative AI systems • Collaborate with engineers across the AI engineering stack — prompt engineering, agentic workflow optimization, evaluation and more • Run structured experiments (e.g., A/B tests, offline evaluations) to measure impact on engagement, quality, and trust metrics • Partner closely with product and engineering to translate user needs into scalable AI-powered solutions • Strengthen model reliability through monitoring, guardrails, quality analysis, and failure mode investigation • Optimize the latency, cost, and scalability of production AI systems
• Availability for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time) • 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 • Strong understanding of mathematical foundations of Machine Learning algorithms • Experience of LLM applications or transformer models • Knowledge of Python or C++, or the ability to learn them quickly • Strong command of written English, with the ability to evaluate tone, accuracy, clarity, and nuance in written content • 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
Apply Now