Machine Learning Test Engineer, Transformers team - EMEA Remote
- 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.
- 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.
- Background in open-source development or contributions to major ML libraries.
- Experience in re-architecting testing systems for rapidly growing projects.
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