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 advance our platforms by embedding cutting-edge agentic AI, generative AI, and machine learning innovations. As a Principal Applied Scientist, you will lead the development of AI-driven analytics solutions for enterprise customers.

Responsibilities

• Lead the design and development of advanced AI models for analytics platforms.
• Drive innovation in agentic AI and generative AI for enterprise data analysis.
• Collaborate with product teams to integrate ML and optimization into core products.
• Conduct research on large-scale data processing and AI scalability.
• Mentor junior scientists and engineers in AI best practices.
• Prototype and evaluate new AI algorithms for real-world enterprise use cases.
• Partner with cross-functional teams to deliver production-ready AI solutions.
• Publish findings and represent Oracle at industry conferences.

Qualifications

• PhD in Computer Science, Machine Learning, or related field; or equivalent experience.
• 10+ years of experience in applied AI/ML research and development.
• Deep expertise in generative AI, LLMs, and agentic systems.
• Strong background in data management and enterprise software architectures.
• Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (OCI/AWS).
• Proven track record of shipping AI products at scale.

Benefits

• Competitive salary and equity in a leading tech company.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase program.
• Flexible remote/hybrid work options across the US.
• Generous PTO, parental leave, and professional development budget.