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.

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.

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.

Quora

Quora's mission is to grow the world's collective intelligence through two platforms: Quora for global knowledge sharing and Poe for AI agent collaboration. We are a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency and experimentation.

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