[Quora is a privately held, remotefirst company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.comeligiblecountries for details regarding employment eligibility by country.]
Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:
Quora: a global knowledge sharing platform with over 400M 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 GPT5, Claude 4.1, Grok 4, Veo 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
This role will be working on our Quora product.
Machine Learning plays an important role in helping Quora further its mission of growing and sharing the worlds knowledge. 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 and help over a hundred million people using Quora every month.
We want to empower all ML engineers at Quora to be as impactful as they can be in solving different ML problems at scale. To that end, we are looking for engineers to help us build our companywide ML development platform. In this role, you will be the part of a small team solving very interesting technical problems at the intersection of exciting domains like Machine Learning, Distributed Systems and High Performance Computing. Your work will have an enormous impact on Quoras longterm success. This role will focus primarily on ML infrastructure and Distributed System (80%), with some involvement in supporting model deployment (20%).
🚀 Excited to see our MLP teams amazing work in action? Check out some of the incredible projects theyve completed below! 👇✨
https:aws.amazon.comblogscontainersquora3xfastermachinelearning25lowercostswithnvidiatritononamazoneks
https:quoraengineering.quora.comBuildingaServiceMeshinaHybridEnvironment
https:quoraengineering.quora.comBuildingEmbeddingSearchatQuora
https:quoraengineering.quora.comFeatureEngineeringatQuorawithAlchemy
Design, develop, and maintain the core infrastructure that powers Quoras machine learning platform, ensuring high availability, scalability, and performance.
Build scalable and reliable distributed systems for serving machine learning models.
Optimize infrastructure performance across the ML platform, identifying and resolving bottlenecks to meet the demands of largescale machine learning workloads.
Collaborate with machine learning engineers to understand their infrastructure needs and provide solutions that enable them to build and deploy models efficiently.
Contribute to the design and implementation of our nextgeneration machine learning infrastructure, focusing on scalability, reliability, and costeffectiveness.
Develop services on top of open source technologies like Kubernetes, Tensorflow, and PyTorch
Own businesscritical infrastructure, help resolve production issues, and participate in the teamwide oncall rotation
Collaborate with ML engineers who use the platform, and help them be more impactful
Availability for meetings and impromptu communication during Quoras “coordination hours (MonFri: 9am3pm Pacific Time)
Experience with building and owning endtoend machine learning or data sciencerelated systems
Experience instrumenting ML workloads for performance monitoringefficiency
Experience with high performance, large scaled distributed systems
4+ years of industry experience in Machine Learning, Infrastructure or related fields
4+ years of experience writing production code in Python, C++, or similar language
BS or MS in Computer Science, Engineering or a related technical field
Strong communication and interpersonal skills, experience working with ML teams is a plus
Experience working with Kubernetes, Docker, Terraform, or other forms of containerized infrastructure
Handson experience with AWS technologies like EC2, EBS, S3, EKS
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.
We are accepting applications on an ongoing basis.
Quora offers a wide range of benefits including medicaldentalvision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are countryspecific and may vary. For more information on benefits, visit this link: https:www.careers.quora.combenefits
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