Software Engineer, Machine Learning Platform, New Grad

📋 Job Overview

Quora is a privately held, \"remote-first\" company. This position can be performed remotely from anywhere in Canada or the United States. Join us on this journey to create a positive impact and make a significant change in the world. This role will be working on our Quora product.

🏢 About Quora

Quora’s mission is to grow the world's collective intelligence. We have two platforms: Quora, a global knowledge sharing platform with over 300M monthly unique visitors, and Poe, a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work.

🎯 The Role

Machine Learning is central to Quora's mission of growing the world's collective intelligence. We have 100+ Machine Learning models in production powering various product features. Our team owns Quora's ML platform and ranking infrastructure across four areas: serving reliability, ML engineer enablement and developer velocity, business impact, and cost efficiency. As a Software Engineer (New Grad) on this team, you'll work at the intersection of Machine Learning, Distributed Systems, and GPU Serving performance — and your work will have an enormous impact on Quora's long-term success.

✅ Key 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

📌 Required Qualifications

• 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

⭐ Desirable Experience

• 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

🎁 Benefits

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more.

🛂 Visa & Eligibility

Quora is a \"remote-first\" company. This position can be performed remotely from anywhere in Canada or the United States. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.