Senior Software Engineer - Machine Learning Platform

Summary

Join Quora's Machine Learning team as a key member in building a company-wide ML development platform. This remote-first position involves architecting, building, and maintaining large-scale distributed systems to support the ML workflow. You will develop services using open-source technologies like Kubernetes, TensorFlow, and PyTorch, and collaborate with ML engineers. The role requires experience in building ML systems, proficiency in Python or C++, and a relevant technical degree. Quora offers a wide range of benefits, including medical/dental/vision coverage, equity refreshers, remote work reimbursement, and paid time off. The position is open to applicants from various countries, with specific salary ranges provided for US and Canada-based candidates.

Requirements

• 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

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

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