Principal AI Tool Engineer For Software Automation/Testing (Cybersecurity)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Principal AI Tool Engineer (AI/ML Testing): Designing and developing testing frameworks for AI/ML models and LLM applications with an accent on model validation, benchmarking, and hallucination detection. Focus on building automated pipelines for regression testing and creating evaluation datasets for edge cases.
Location: Must be based in Santa Clara, CA, USA. No immigration sponsorship available.
Salary: $147,000 - $237,500 per year
Company
is a global leader in cybersecurity, dedicated to protecting the digital way of life through AI-driven innovation and disruptive technology.
What you will do
- 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 engineering and product teams to define test strategies and monitor production performance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- 8+ years of experience in software engineering, QA automation, or ML engineering.
- Strong programming skills in Python.
- Experience with testing frameworks (e.g., PyTest, unittest) and CI/CD pipelines.
- Familiarity with machine learning concepts and model evaluation techniques.
- No immigration sponsorship available for this position.
Nice to have
- Experience with LLMs, prompt engineering, and frameworks like LangChain or OpenAI Evals.
- Knowledge of AI safety, bias detection, and adversarial testing.
- Experience with cloud platforms such as AWS, GCP, and Azure.
- Exposure to synthetic data generation and simulation environments.
Culture & Benefits
- Mission-driven environment focused on cybersecurity innovation.
- Strong emphasis on in-person collaboration at the headquarters.
- Competitive compensation package including restricted stock units and bonuses.
- Commitment to diversity, inclusion, and equal opportunity employment.
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