As a Machine Learning Test Engineer, you will play a critical role in scaling and advancing testing infrastructure for large-scale AI projects. You will work on complex, high-volume test suites across multiple platforms, ensuring that machine learning frameworks operate reliably and efficiently. This role offers the chance to design robust, growth-oriented testing architectures, integrate testing deeply into CI/CD pipelines, and collaborate with cross-functional teams to elevate testing as a strategic priority.
Accountabilities
- Lead the redesign and scaling of testing infrastructure to support high-volume test suites (100K+ tests) across multiple platforms
- Architect and implement scalable, modular testing systems integrated with CI/CD pipelines
- Establish best practices for test coverage, reliability, and maintainability, partnering with testing leads and engineering teams
- Anticipate future testing needs and proactively adapt systems to evolving project complexity and platform diversity
- Collaborate with engineers, product managers, and other stakeholders to ensure testing is a core component of project planning and execution
- Continuously monitor and improve testing processes to optimize efficiency and reduce technical debt
Requirements
- Proven experience with modern machine learning frameworks (e.g., Transformers, PyTorch) and large-scale software projects
- Experience managing high-volume test suites and cross-platform testing challenges
- Strong understanding of CI/CD pipelines and automated testing frameworks
- Strategic mindset that treats testing as a critical enabler of project growth and reliability
- Proficiency in designing scalable, modular, and maintainable testing architectures
- Excellent collaboration and communication skills in English
- Preferred: background in open-source development and experience re-architecting testing systems for rapidly growing projects
Benefits
- Flexible working hours and remote options to support work-life balance
- Health, dental, and vision coverage for employees and their dependents
- Parental leave and flexible paid time off policies
- Reimbursement for relevant conferences, training, and education
- Company equity as part of the compensation package
- Opportunity to work in a collaborative, community-focused environment with cutting-edge AI technologies
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