Senior Software Engineer - Machine Learning Platform

Summary

Join Quora's Machine Learning Platform team and help build the company-wide ML development platform. This role focuses on ML infrastructure and distributed systems (80%), with some model deployment support (20%). You will design, develop, and maintain core infrastructure, build scalable distributed systems for serving ML models, optimize infrastructure performance, collaborate with ML engineers, and contribute to next-generation ML infrastructure. Your work will significantly impact Quora's long-term success. This is a remote-first position available in multiple countries. The team uses various algorithms and operates at a huge scale, impacting over a hundred million users monthly.

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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Medical/dental/vision coverage
• Equity refreshers
• Remote work reimbursement
• Paid time off
• Employee assistance programs