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

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 (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

Perks and Benefits:

We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.

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. Benefits are country-specific and may vary.

• 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. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.

To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.