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Data reviewed by JobGiant Research Desk
Listing via Jobicy
[ Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. 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 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
and Role: Our Monetization team works on challenging problems every day. Our Machine Learning Engineers are tasked with optimizing the advertising product at Quora, and the team covers the entire Machine Learning Ads lifecycle from end-to-end, including ads targeting, ranking and auction dynamics, and quality measurement. Ingrained in our culture is the desire to constantly learn and improve, and our engineers are encouraged to think big and experiment with new ideas.
Estimation nette
Salaire non indiqué
* Estimation avant autres retenues (assurance santé, 401k, impôts locaux). Ce n'est pas un conseil fiscal.
Chiffres de l'année fiscale 2026. Sources :
Salary
Not listed
Job Type
full_time
Location
Canada, Ireland, USA
Industry
Data Science & Analytics