About The Position

We are seeking an experienced engineer with a passion for quality engineering and a working understanding of AI/ML systems to lead quality efforts across our machine learning platform. In this strategic role, you will shape how we test and validate machine learning pipelines, data workflows, and platform services that power our AI products at scale. You will drive end-to-end quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling. As a senior technical leader, you will influence architecture, establish test frameworks tailored for ML systems, and guide teams on scalable, testable, and reliable AI infrastructure.

Requirements

  • 10+ years in software development and/or test automation, with at least 3 years leading complex, distributed system testing
  • B.S. in Computer Science or similar field, M.S. preferred
  • Strong programming experience in Java or Python, with ability to write reusable test frameworks
  • Proven ability to lead testing efforts for large-scale, backend or platform systems (ideally including microservices or cloud-based architectures)
  • Deep understanding of test design methodologies, CI/CD practices, and test automation at scale
  • Experience with test frameworks and tools such as PyTest, JUnit, or equivalent
  • Experience with performance testing of large scale systems
  • Skilled in driving multi-functional quality programs and influencing engineering architecture and tooling

Nice To Haves

  • Experience testing AI/ML systems or platforms that include ML model training or data pipelines
  • A general understanding of Machine Learning Lifecycle
  • Have worked on projects using GenAI
  • Experience working with cloud platforms (AWS/GCP/Azure) and containerized environments (Docker, Kubernetes)
  • Contributions to quality strategies in AI/ML product teams or research settings
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