Requirements:

Availability 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
Experience instrumenting ML workloads for performance monitoring/efficiency
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

Nice to Haves:

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

Design, develop, and maintain the core infrastructure that powers Quora's 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 large-scale 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 next-generation machine learning infrastructure, focusing on scalability, reliability, and cost-effectiveness
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

Wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more
Competitive salary ranges based on experience, location, education, and business needs
Equal opportunity employer that values diversity and inclusivity