Senior Principal Applied Scientist - OCI GEN AI...
@ Oracle

San Francisco, CA
$200,000
On Site
Full Time
Posted 21 days ago

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Job Details

About the Role

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of creators and inventors. In the role of Senior Principal Applied Scientist - OCI GEN AI ChatBot, you will work with applied scientists, engineers, and product managers to deliver high-quality, scalable AI models and Analytics solutions that solve real-world enterprise problems.

Responsibilities

  • Conduct in-depth research on conversational and agentic AI systems.
  • Lead and mentor a high-performing team of scientists and engineers.
  • Collaborate with cross-functional teams to integrate GenAI and analytics solutions.
  • Identify and innovate new opportunities in conversational AI.
  • Stay updated with industry trends and advancements.

Qualifications & Experience

Candidates should have a PhD or Master's in Computer Science, Mathematics, Statistics, Physics, Linguistics, or related fields with significant research in Machine Learning or Deep Learning and 10+ years of relevant experience (or 12+ years for a Master's degree). A strong publication record, deep learning, NLP, and agentic AI expertise, along with excellent problem-solving and leadership skills, are required.

Key Skills/Competency

  • Generative AI
  • Deep Learning
  • NLP
  • Agentic AI
  • Analytics
  • Research
  • Innovation
  • Leadership
  • Team Collaboration
  • Enterprise Solutions

How to Get Hired at Oracle

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI research, leadership, and technical skills.
  • Showcase publications: Include top-tier conference works.
  • Research Oracle: Understand their cloud innovation and culture.
  • Prepare for interviews: Focus on technical and leadership experiences.

📝 Interview Preparation Advice

Technical Preparation

Review deep learning architectures.
Practice NLP model development.
Study recent GenAI research papers.
Analyze agentic AI case studies.

Behavioral Questions

Describe leadership in challenging projects.
Explain effective team collaboration experiences.
Discuss problem-solving under pressure.
Share communication improvement stories.

Frequently Asked Questions