[Hiring] Software Engineer New Grad, Machine Learning Platform @Quora

Role Description

This role will be working on our Quora product.

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. We use a variety of algorithms — everything from linear models to decision trees and deep neural networks. Our production models operate at a huge scale, serving hundreds of millions of people using Quora every month.

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.

No previous ML infrastructure experience is required for this role.

You'll be joining a team of senior and staff engineers, learning this stack from the people who built it, with a dedicated mentor and strong technical guidance — and you'll be shipping to production in your first few weeks.

Stack: Python, Go, C++, PyTorch, Kubernetes/EKS, NVIDIA Triton, Ray, AWS

🚀 Excited to see our MLP team's amazing work in action? Check out some of the incredible projects they've completed below! 👇✨

• Migrating from x86 to AWS Graviton: A Journey in Cost Optimization and Performance
• 3x Faster Machine Learning, 25% Lower Costs with NVIDIA Triton on Amazon EKS
• Building a Service Mesh in a Hybrid Environment
• Building Embedding Search at Quora
• Feature Engineering at Quora with Alchemy

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.

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.

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.

Benefits

• Medical/dental/vision coverage.
• Equity refreshers.
• Remote work reimbursement.
• Paid time off.
• Employee assistance programs.
• Benefits are country-specific and may vary.

Additional Information

• We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
• There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
• US candidates only: For US based applicants, the salary range is $97,600 - $139,000 USD + equity + benefits.
• Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $125,320 - $142,783 CAD + equity + benefits. For all other locations in Canada, the salary range is $116,965 - $133,264 CAD + equity + benefits.
• We are an equal opportunity employer and value diversity at our company.
• To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.