Note: The job is a remote job and is open to candidates in USA. Quora is a remote-first company focused on growing the world's collective intelligence through its Quora and Poe platforms. The Software Engineer (New Grad) will help build and maintain the machine learning platform and distributed systems infrastructure, including GPU model serving, developer tooling, feature stores, and production reliability.
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
Skills
- 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
- 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, and vision coverage
- Equity
- Remote work reimbursement
- Paid time off
- Employee assistance programs
- In equity-eligible countries, a flexible equity program where a portion of equity compensation may be taken as cash
- This position can be performed remotely from anywhere in Canada or the United States
- A dedicated mentor and strong technical guidance
Company Overview
Company H1B Sponsorship