Lead AI Testing Engineer — ML Pipelines & Quality

Palo Alto Networks; California; Hybrid; USD 156,000 - 253,000; Full time

Benefits offered by this job

Restricted stock units

Bonus

Job summary

Palo Alto Networks is seeking a senior QA/ML engineer to design testing frameworks for AI/ML models and LLM applications. You will build automated pipelines for validation, benchmarking, and edge-case testing, creating datasets and evaluating metrics for accuracy, latency, and safety.

Collaborate with engineers and product teams to define strategies, monitor production performance, and ensure ethical AI practices. Strong Python skills and CI/CD experience are essential.

Qualifications

• Bachelor’s or Master’s degree in CS, AI, ML or related field.
• 8+ years of software engineering, QA automation, or ML engineering experience.
• Strong programming skills in Python (preferred) or similar languages.
• Experience with testing frameworks (e.g., PyTest, unittest).
• Familiarity with machine learning concepts and model evaluation techniques.
• Experience working with APIs, distributed systems, and CI/CD pipelines.
• Knowledge of data structures, algorithms, and software design principles.

Responsibilities

• Design and develop testing frameworks for AI/ML models and LLM applications.
• Build automated pipelines for model validation, regression testing, and benchmarking.
• Create evaluation datasets, synthetic data, and test scenarios for edge cases.
• Implement metrics to assess accuracy, robustness, latency, and safety.
• Develop tools for prompt testing, output validation, and hallucination detection.
• Collaborate with engineers, and product teams to define test strategies.
• Monitor model performance in production and build alerting systems.
• Ensure compliance with ethical AI standards, fairness, and bias testing.
• Debug model behavior and identify root causes of failures.
• Analytical thinking and problem‑solving.
• Attention to detail and quality‑focused mindset.
• Strong collaboration and communication skills.
• Ability to design scalable and reusable testing systems.

Skills

Python proficiency

Analytical thinking

Attention to detail

Collaboration

Communication skills

Education

Bachelor’s or Master’s degree in CS/AI/ML

Tools

PyTest

unittest

LangChain

OpenAI Evals

CI/CD pipelines

Job description

Palo Alto Networks is seeking a senior QA/ML engineer to design testing frameworks for AI/ML models and LLM applications. You will build automated pipelines for validation, benchmarking, and edge-case testing, creating datasets and evaluating metrics for accuracy, latency, and safety.

Collaborate with engineers and product teams to define strategies, monitor production performance, and ensure ethical AI practices. Strong Python skills and CI/CD experience are essential.