Machine Learning Engineer, New Grad - Quora (Remote)

[Quora is a privately held, "remote-first" company. This position can be performed remotely from anywhere in Canada or the United States. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]

About Quora:

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, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
• Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including Claude-Opus-4.7, Nano-Banana-2, GPT-Image-2, GPT-5.5, GPT-5.5-Pro, and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
  
  

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Quora product.

About the Team and Role:

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. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

Join our team to build and improve consumer-facing AI systems at the core of Quora's product experience! As a Machine Learning Engineer, you'll develop high-quality AI-powered content experiences and drive meaningful engagement through scalable ML solutions. This role emphasizes hands-on model development, experimentation, and productionization in close collaboration with cross-functional partners.

Responsibilities:

• 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
  
  

Minimum Requirements:

• 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
  
  

Preferred Requirements:

• Previous software engineering experience via an internship, work experience or coding competition
• Hands-on experience building agents in a production environment at scale
• Passion for Quora's mission and goals
  
  

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

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.

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

• US candidates only: For US based applicants, the salary range is $107,360 - $152,900 USD + equity + benefits.
• Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $137,852 - $157,061 CAD + equity + benefits. For all other locations in Canada, the salary range is $128,661 - $146,590 CAD + equity + benefits.
  
  

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.

To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.

Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice