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
Preferred Requirements:
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
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
Perks and Benefits:
Wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more
US candidates: Salary range is $183,647 - $267,615 USD + equity + benefits
Canada candidates: Salary range is $230,453 - $287,848 CAD + equity + benefits
Equal opportunity employer with a focus on diversity and inclusivity