Описание

Quora is a remote-first company with two platforms: Quora, a global knowledge-sharing platform, and Poe, a cloud workspace for AI agents. This role will be working on the Quora product.

Machine Learning is central to Quora's mission, with 100+ ML models in production powering various product features. The team owns Quora's ML platform and ranking infrastructure across 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.

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

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

Nice to have

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

We offer

Medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more (benefits are country-specific and may vary)
Flexible equity program where a portion of equity compensation may be taken as cash in equity-eligible countries
For US based applicants, the salary range is $97,600 - $139,000 USD + equity + benefits
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

Hiring process

All final candidates will undergo identity verification and a comprehensive background check prior to onboarding