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 real-time 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 on-call 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
Salary ranges for US and Canada based applicants
Equal opportunity employer promoting diversity and inclusivity