Machine Learning Test Engineer, Transformers Team

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November 3

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Hugging Face

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Artificial Intelligence • SaaS • Enterprise

Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Lead the reinvention and scaling of testing infrastructure to support 100K+ tests across multiple platforms (e.g., Transformers, PyTorch, vLLM) • Design growth-oriented testing architectures that prioritize scalability, reliability, and integration with CI/CD pipelines, avoiding fragmented or isolated test workflows • Partner with the existing testing lead to establish best practices and drive continuous improvement of the testing ecosystem • Collaborate with cross-functional teams to embed testing as a first-class project, ensuring it receives the focus and resources required to sustain rapid growth • Anticipate future testing needs and proactively adapt systems to accommodate evolving project scope, complexity, and platform diversity

🎯 Requirements

• Proven experience working with modern machine learning frameworks (e.g., Transformers, PyTorch) and large-scale software projects • A mindset that treats testing as a strategic priority, not a secondary task—demonstrating how robust testing directly enables project scalability • Strong belief in architecting for growth: You prioritize scalable, modular testing systems over isolated, atomic tests • Experience managing high-volume test suites (100K+ tests) and cross-platform testing challenges • Familiarity with CI/CD tools and automated testing frameworks • Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

🏖️ Benefits

• Health, dental, and vision benefits for employees and their dependents • Flexible working hours • Remote options • Parental leave • Flexible paid time off • Reimbursement for relevant conferences, training, and education