Machine Learning Engineer, New Grad

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 (bots). 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. This role will be working on our Quora 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. 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.