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

What you'll do

• Build and maintain scalable, reliable ML platform infrastructure and production model-serving systems.
• Optimize GPU model serving for latency, throughput, and cost; contribute to platform modernization.
• Develop tools and improve the feature store to help ML engineers build, test, and deploy models efficiently.

What they ask for

• Be 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.
• Be available for meetings and communication during coordination hours, Monday–Friday, 9 a.m.–3 p.m. Pacific Time.
• Have a genuine interest in large-scale distributed systems, infrastructure, and machine learning.
• Know Python, Go, or C++, or be able to learn them quickly.

Nice to have

• Previous software engineering experience through an internship, work, open-source contribution, or coding competition.
• Coursework or hands-on experience with ML frameworks; exposure to Kubernetes, Docker, or AWS; or low-level performance work.

Pay

$97,600 - $139,000 USD base salary; $125,320 - $142,783 CAD base salary (Toronto and Vancouver); $116,965 - $133,264 CAD base salary (other Canadian locations)

Tools

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

AI focus

Build and improve infrastructure serving production machine-learning models, including large recommendation models and large language models; optimize GPU model serving.