Software Engineer New Grad
Quora
United StatesFresher48m agovia LinkedIn
About The Team And Role
Machine Learning is central to Quora's mission. The team owns Quora's ML platform and ranking infrastructure. This role will be working on the Quora product, at the intersection of machine learning, distributed systems, and GPU serving performance. No previous ML infrastructure experience is required.
Stack
- Python
- Go
- C++
- PyTorch
- Kubernetes/EKS
- NVIDIA Triton
- Ray
- AWS
Key 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.
- Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization.
- Improve ML developer velocity by building tooling.
- Modernize our feature store.
- Participate in the team's on-call rotation.
Minimum 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.
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.