Principal AI Scientist - Explainable AI (XAI)

About the Role

Our client is seeking a visionary Principal AI Scientist to lead research and development in Explainable AI (XAI). This is a fully **remote** position, offering a unique opportunity to shape the future of AI transparency and trust. You will be responsible for advancing the field of XAI, developing techniques and tools that make AI models understandable and interpretable. Your work will be critical in building AI systems that are not only powerful but also trustworthy and accountable. This role is ideal for a seasoned researcher who thrives in a **remote-first** environment and is passionate about driving innovation in AI interpretability. We are committed to fostering a collaborative and intellectually stimulating research culture, pushing the boundaries of what's possible with AI. Your contributions will be essential in making AI more accessible and reliable.

Key Responsibilities

• Lead cutting-edge research in Explainable AI (XAI) techniques and methodologies.
• Develop novel algorithms and frameworks for interpreting and visualizing AI model decisions.
• Apply XAI techniques to diverse AI models, including deep learning and traditional ML.
• Collaborate with cross-functional teams to integrate XAI solutions into products and services.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and engineers in the field of XAI.
• Stay abreast of the latest advancements and trends in AI interpretability and trustworthiness.
• Contribute to the strategic direction of AI research within the organization.
• Develop proof-of-concepts and prototypes to demonstrate the value of XAI.
• Ensure the practical application and impact of XAI research.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of research experience in AI/ML, with a deep specialization in Explainable AI (XAI).
• Proven track record of publications in leading AI conferences and journals related to XAI.
• Expertise in Python and ML/XAI libraries (e.g., SHAP, LIME, Captum, TensorFlow, PyTorch).
• Strong understanding of various AI model architectures and their interpretability challenges.
• Experience with data analysis, visualization, and statistical modeling.
• Excellent problem-solving, critical thinking, and research skills.
• Outstanding written and verbal communication skills, essential for **remote** collaboration.
• Demonstrated ability to lead research initiatives and work independently in a **remote** setting.
• Experience in translating complex research concepts into actionable insights.

Benefits

This fully **remote** position offers a highly competitive salary, comprehensive health benefits, and an excellent bonus structure. Employees have access to substantial professional development budgets, including conference travel, research grants, and advanced training opportunities. Enjoy the ultimate flexibility of working from your preferred location while contributing to world-class AI research. Our client fosters a collaborative online environment and a strong emphasis on work-life balance for its **remote** workforce. Opportunities for significant impact and leadership in the rapidly growing field of XAI are abundant.

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