Vadodara, Gujarat, India
Information Technology
Full-Time
Quora
Overview
[Quora is a "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 and share the world’s knowledge. To do so, we have two knowledge sharing products:
About The Team And Role
Machine Learning plays an important role in helping Quora further its mission of growing and sharing the world's 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 company-wide 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 Quora's long-term success.
Responsibilities
Additional Information
We are accepting applications on an ongoing basis.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice
About Quora
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 GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
About The Team And Role
Machine Learning plays an important role in helping Quora further its mission of growing and sharing the world's 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 company-wide 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 Quora's long-term success.
Responsibilities
- Architect, build and maintain large scale distributed systems to support the ML development workflow, from data collection and training to deployment and realtime serving
- Develop services on top of open source technologies like Kubernetes, Tensorflow, and PyTorch
- Own business-critical infrastructure, help resolve production issues, and participate in the team-wide oncall rotation
- Collaborate with ML engineers who use the platform, and help them be more impactful
- Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- Experience with building and owning end-to-end machine learning or data science-related systems
- 2+ years of industry experience in Machine Learning, Infrastructure or related fields
- 2+ 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 inter-personal skills, experience working with ML teams is a plus
- Experience working with Kubernetes, Docker, Terraform, or other forms of containerized infrastructure
- Hands-on experience with AWS technologies like EC2, EBS, S3, EKS
Additional Information
We are accepting applications on an ongoing basis.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
- US candidates only: For US based applicants, the salary range is $155,656 - $267,615 USD + equity + benefits.
- Canada candidates only: For Canada based applicants, the salary range is $194,934 - $287,848 CAD + equity + benefits.
Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice
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