About this role
Our Mission
At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
Key Responsibilities
Design and develop testing frameworks for AI/ML models and LLM applicationsBuild automated pipelines for model validation, regression testing, and benchmarkingCreate evaluation datasets, synthetic data, and test scenarios for edge casesImplement metrics to assess accuracy, robustness, latency, and safetyDevelop tools for prompt testing, output validation, and hallucination detectionCollaborate with engineers, and product teams to define test strategiesMonitor model performance in production and build alerting systemsEnsure compliance with ethical AI standards, fairness, and bias testingDebug model behavior and identify root causes of failuresAnalytical thinking and problem-solvingAttention to detail and quality-focused mindsetStrong collaboration and communication skillsAbility to design scalable and reusable testing systems Qualifications
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field8+ years of experience in software engineering, QA automation, or ML engineeringStrong programming skills in Python (preferred) or similar languagesExperience with testing frameworks (e.g., PyTest, unittest)Familiarity with machine learning concepts and model evaluation techniquesExperience working with APIs, distributed systems, and CI/CD pipelines
Preferred QualificationsExperience with LLMs and prompt engineeringFamiliarity with evaluation tools like LangChain, OpenAI Evals, or similar frameworksKnowledge of AI safety, bias detection, and adversarial testingExperience with cloud platforms (AWS, GCP, and Azure)Understanding of observability tools and monitoring systemsExposure to synthetic data generation and simulation environments #LI-BL1
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$147,000.00 - $237,500.00/yr
Our Commitment
We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.