About the role

Software Engineer developing core infrastructure for Quora's machine learning platform. Join a team working at the intersection of Machine Learning, Distributed Systems, and GPU Serving.

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

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.