Overview

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization. As a Principal Applied Scientist, you will lead the development of transformative AI solutions for enterprise analytics.

Responsibilities

• Lead the design and development of advanced AI models for enterprise analytics platforms.
• Drive innovation in agentic AI and generative AI to enhance data analysis capabilities.
• Collaborate with engineering teams to integrate ML models into scalable Oracle products.
• Conduct research on machine learning and optimization techniques for large-scale data.
• Mentor junior scientists and engineers in best practices for AI development.
• Prototype and evaluate new AI algorithms for real-world enterprise use cases.
• Partner with product managers to define AI-driven features and roadmaps.
• Publish findings and represent Oracle at top AI conferences and industry events.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, or related field.
• 10+ years of experience in applied machine learning and AI research.
• Deep expertise in generative AI, LLMs, and agentic AI systems.
• Proven track record of deploying ML models at enterprise scale.
• Strong programming skills in Python, TensorFlow/PyTorch, and cloud platforms.
• Excellent communication skills and experience leading cross-functional teams.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase program.
• Flexible remote work options across the United States.
• Generous PTO, parental leave, and professional development budget.