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# Software Engineer New Grad, Machine Learning Platform - Quora (Remote)

- **Company:** Quora, Inc.
- **Location:** Cora, WY, United States (Remote available)
- **Experience:** Starter
- **Salary:** $97,600 - $139,000
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Cloud Computing, Profiling, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Recommender Systems, Tensorflow, Azure Machine Learning, Software Engineering, Pytorch, System Availability, Large Language Models, Deep Learning, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-new-grad-machine-learning-platform-quora-remote--585c541a-ff2b-4197-8ebc-4698a1555e50

## About the Role

Software Engineering, Machine Learning, Intelligence Gathering, Artificial Intelligence (AI) Agents, Cloud Computing, Team Player, Machine Learning, Deep Learning, Linear Models, Algorithms, * 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

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

## Description

* 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