Software Engineer, Machine Learning Platform, New Grad - Quora (Remote)

Quora is a privately held, remote-first company aiming to grow the world's collective intelligence. They are seeking a Software Engineer (New Grad) to work on their Machine Learning platform, focusing on building and maintaining infrastructure that supports various machine learning models at scale.

Responsibilities:

• Help build and maintain the core infrastructure that powers Quora's ML platform, ensuring high availability, scalability, and performance
• Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRM) to Large Language Models (LLM)
• Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models
• Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization
• Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently
• Modernize our feature store so ML engineers can get new features into production faster
• Participate in the team's on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform

Requirements:

• Availability for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time)
• A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Genuine interest in large-scale distributed systems, infrastructure, and machine learning
• Knowledge of Python, Go or C++, or the ability to learn them quickly
• A passion for learning and always improving yourself and the team around you
• Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
• Coursework or hands-on experience with ML frameworks such as PyTorch or TensorFlow
• Exposure to Kubernetes, Docker, or cloud technologies like AWS
• Experience with low-level performance work of any kind: profiling, benchmarking, optimization
• Passion for Quora's mission and goals