remote
Experienced AI Credibility Researcher - Sandia National Laboratories
Software Engineer
Lead advanced AI credibility research, designing and evaluating models to ensure trustworthy, reliable outputs. Apply machine learning, NLP, and statistical techniques to assess bias, robustness, and explainability in cutting‑edge AI systems.
About the role
Key Responsibilities
- Design and execute research projects that evaluate the credibility, robustness, and bias of AI models.
- Develop and implement metrics, benchmarks, and testing frameworks for model trustworthiness.
- Apply advanced machine learning and natural language processing techniques to analyze model behavior across diverse datasets.
- Collaborate with interdisciplinary teams to integrate credibility findings into product development and policy recommendations.
- Publish research results in peer‑reviewed venues and present insights to internal and external stakeholders.
Requirements
- Ph.D. or equivalent experience in Computer Science, AI, Machine Learning, or a related field.
- Strong programming skills in Python and experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, spaCy).
- Proven track record of research on model interpretability, bias mitigation, or AI safety.
- Expertise in statistical analysis and experimental design for evaluating AI systems.
- Excellent communication skills for documenting findings and presenting complex concepts to diverse audiences.
Skills
machine learningnatural language processingpython