[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.
com/eligible-countries for details regarding employment eligibility by country.
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 GPT-5.
6-Sol, Claude-Opus-5, Claude-Fable-5, Claude-Sonnet-5, Kimi-K3, and thousands of others.
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: Machine Learning is central to Quora's mission of growing the world's collective intelligence.
We have 100+ Machine Learning models in production powering various product features.
We use a variety of algorithms — everything from linear models to decision trees and deep neural networks.
Our production models operate at a huge scale, serving hundreds of millions of people using Quora every month.
Our team owns Quora's ML platform and ranking infrastructure across four areas: serving reliability, ML engineer enablement and developer velocity, business impact, and cost efficiency.
We want to empower all ML engineers at Quora to be as impactful as.