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

Preferred Requirements:

• 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

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 (LRMs) to Large Language Models (LLMs)
• 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

Perks and Benefits:

• Wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more
• Country-specific salary ranges with equity and benefits included for US and Canada candidates
• Equal opportunity employer promoting diversity and inclusivity
• Identity verification and comprehensive background check for final candidates