Quora's mission is to grow the world's collective intelligence. To do so, we have two platforms: Quora, a global knowledge sharing platform with over 300M monthly unique visitors, and Poe, a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models, including GPT-5.2, Claude Opus 4.5, Grok 4.1, and more. Behind these products are passionate, collaborative, and high-performing global teams with a culture rooted in transparency, idea-sharing, and experimentation. This role will be working on our Poe product.

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. At Poe, we use AI in various parts of the product - bot/app routing and recommendation, agent flow, RAG, etc. Our team of AI Engineers has high impact by advancing the current AI systems, building performant and reliable LLM applications, and collaborating with our product team to uncover new opportunities.

• Location: Remote – Canada, United States (Multiple Locations)
• Employment Type: Full time
• Graduation Year: 2025 or Summer 2026 graduates
• Coordination Hours: Must be available Mon-Fri: 9am-3pm Pacific Time

• Work with other engineers on a wide variety of AI engineering tasks, including prompt engineering, retrieval-augmented generation, and agentic workflow optimization, etc to improve our existing applied AI systems.
• Identify new opportunities to apply emerging AI capabilities to different parts of the Poe product.
• Take end-to-end ownership of applied AI systems - from prototyping, data pipelines, model optimization/evaluation to reliable deployment at scale.

• Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time).
  • A 2025 or Summer 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field.
  • Strong engineering background (Python or TypeScript).
  • Understanding of mathematical foundations of Machine Learning algorithms.
  • Experience of LLM applications or transformer models.
  • A passion for learning and always improving yourself and the team around you.
• Preferred Requirements:
  • Previous software engineering experience via an internship, work experience or coding competition.
  • Previous hands-on experience working on LLM and prompt engineering.
  • Passion for Poe and Quora's mission and goals.

Other Information

• Additional Information: We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
• Benefits: Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
• Salary Ranges:
  • US based applicants: $107,360 - $152,900 USD + equity + benefits.
  • Toronto and Vancouver based applicants: $140,796 - $160,415 CAD + equity + benefits.
  • All other locations: $131,409 - $149,720 CAD + equity + benefits.
• Quora is an equal opportunity employer. AI technology may assist in sorting applications, but all decisions are made by our team. All final candidates will undergo identity verification and a comprehensive background check.

How to Apply
Interested candidates should apply directly through the Quora careers portal at https://jobs.ashbyhq.com/quora/6df58d3e-855a-423e-99fd-a56ac8824b34.

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