Software Engineer New Grad, Machine Learning Platform - Quora
Job description
Software Engineer (New Grad) role on Quora's Machine Learning Platform team, working at the intersection of machine learning, distributed systems, and GPU serving performance. The role builds and maintains the infrastructure powering Quora's ML platform and ranking infrastructure.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Canada, United States
- Pay
- USD 97,600 – 139,000 / year
What you'll do
- 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
What we're looking for
- 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
Your team
Machine Learning Platform 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. A team of senior and staff engineers with a dedicated mentor and strong technical guidance.
Benefits
- Medical/dental/vision coverage
- Equity refreshers
- Remote work reimbursement
- Paid time off
- Employee assistance programs
- Flexible equity program where a portion of equity compensation may be taken as cash (in equity-eligible countries)
How to get hired
- 1AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team
- 2All final candidates will undergo identity verification and a comprehensive background check prior to onboarding
Apply
About Quora
Quora is a privately held, remote-first company with two platforms: Quora, a global knowledge sharing platform with millions of monthly unique visitors, and Poe, a cloud workspace where millions of users run multiple AI agents on shared context and tools.
Mission
Quora's mission is to grow the world's collective intelligence.
Key facts
- Privately held, remote-first company
- 100+ Machine Learning models in production
- Production models serve hundreds of millions of people using Quora every month
- This role will be working on our Quora product
What they value
- Transparency
- Idea-sharing
- Experimentation
- Diversity and inclusivity