Overview

The Machine Learning Research Group at Oracle is seeking an outstanding PhD researcher with expertise in AI and Machine Learning Safety and Assurance to join our innovative team in Burlington, MA. As a Principal Research Scientist, you will advance cutting-edge research to ensure the safety, reliability, and trustworthiness of AI systems. This role offers the opportunity to shape the future of responsible AI development within a world-class research environment.

Responsibilities

• Lead research initiatives on AI safety, robustness, and assurance methodologies.
• Develop novel techniques for verifying and validating machine learning models.
• Design experiments to evaluate AI system vulnerabilities and failure modes.
• Collaborate with cross-functional teams to integrate safety measures into product development.
• Publish high-impact papers and present findings at top AI conferences.
• Mentor junior researchers and contribute to group strategy.
• Investigate adversarial robustness and uncertainty quantification in ML systems.
• Stay abreast of emerging AI risks and contribute to industry standards.

Qualifications

• PhD in Computer Science, Machine Learning, or related field with focus on AI safety.
• 5+ years of experience in AI/ML research, with publications in top venues.
• Deep expertise in ML assurance, verification, or safety techniques.
• Proficiency in Python, PyTorch/TensorFlow, and research frameworks.
• Strong track record of independent research and innovation.
• Excellent communication skills and ability to collaborate effectively.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase plan.
• Generous paid time off and flexible work arrangements.
• Professional development budget and conference travel support.