[Quora is a privately held, "remote-first" company.
This position can be performed remotely from multiple countries around the world.
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 millions of 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 cloud workspace where millions of users run multiple AI agents on shared context and tools.
One subscription, every frontier model, and the collaboration layer that makes them work together.
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.
As a remote-first company, our engineers have a high degree of flexibility and autonomy.
Everyone on the engineering team has a significant impact on our product and our company.
We are looking for an experienced machine learning engineer to join our distribution team, working on recommendation systems such as feed, notifications, and Quora's famous digest emails.
At Quora, we use machine learning in almost every part of the product and recommendation systems play an important role in connecting users with content.
As a ranking modeling expert, you will own and advance the second-phase ranking model be.