Software Machine Learning Test Engineer

About the role

Software Machine Learning Test Engineer at Phizenix will lead the design and implementation of automated testing frameworks for next‑generation AI compute platforms. Working within the Software QA team, the engineer will develop CI/CD pipelines and Python‑based test suites to validate both hardware and software components, ensuring high quality and performance of large language models. The role requires deep knowledge of machine learning fundamentals, proficiency in Python and Linux, and experience building end‑to‑end validation workflows. Collaboration with ML kernel, compiler, hardware, and research teams across global locations is essential, as is the ability to contribute to emerging AI technologies. Candidates should hold a bachelor’s or master’s degree in computer science, electrical engineering, or a related field, and bring at least seven years of industry experience in software testing or ML engineering.

What you’ll do

• Design and build automated test frameworks for AI hardware/software
• Enhance test and qualification infrastructure
• Develop CI/CD pipelines and Python-based test suites
• Validate component‑level and end‑to‑end AI models
• Collaborate with ML kernel, compiler, hardware, research teams
• Contribute to emerging ML/AI technologies

What you’ll bring

• Bachelor's or Master's in CS, EE, or related field
• 7+ years industry experience
• Strong ML fundamentals and LLM knowledge
• Proficient in Python, Linux environment
• Team player with collaboration skills

Nice to have

• Experience in startups or fast‑paced teams
• Hands‑on ML models and neural network layers
• Tested deep learning frameworks (TensorFlow, PyTorch, transformers)
• Familiar with CI/CD systems, especially GitLab pipelines

Skills

Education

Bachelor's or Master's