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Senior Applied Scientist

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Job Details

Role: Senior Applied Scientist

Location: United States (Remote)
Job Type: Full-time

About the Role

Company Overview:
Building on its cloud momentum, Oracle has launched the Oracle Health & AI team, tasked with product development and strategy for modernized, automated healthcare solutions. The team operates with an entrepreneurial spirit and a focus on building cutting-edge AI technologies.

As a Senior Applied Scientist, you will have the opportunity to drive Oracle’s initiatives in Generative AI and Large Language Models (LLMs). Your role will focus on developing innovative solutions for healthcare and enterprise customers, while mentoring junior scientists and working closely with multinational teams to take projects from research to production.

Your Responsibilities

  • AI Project Development: Collaborate with product managers and translate business requirements into AI projects.
  • AI Model Architecture: Design and review the architecture of AI solutions, ensuring best practices for data, models, training, and evaluation.
  • Collaborate and Mentor: Work with multinational teams and provide leadership, mentoring junior and senior applied scientists.
  • Innovative Solutions: Leverage generative AI, machine learning, and deep learning to develop new features for healthcare and enterprise services.
  • Production Code: Develop production code and uphold coding standards.
  • Project Management: Participate in project planning, reviews, and retrospectives, and identify risks at the intersection of business and engineering.

Required Qualifications

  • AI Expertise:
    • Demonstrated experience in designing and implementing scalable AI models for production.
    • Expertise in Machine Learning, Deep Learning, and architectures such as Transformers.
    • Hands-on experience with LLMs, including techniques like fine-tuning and prompt engineering.
  • Frameworks and Tools:
    • Proficiency with LLM frameworks and tools such as LangChain, VectorStores, LLM Cache, and LLMOps (MLFlow).
  • Data Management:
    • Experience in designing data collection/annotation pipelines and evaluation systems for production.
  • Research and Publications:
    • A strong publication record in top-tier journals or conferences, ideally with experience as a lead author or reviewer.
  • Leadership:
    • Proven experience leading teams of senior and early-career scientists.

Preferred Qualifications

  • Healthcare Experience:
    • Experience in healthcare AI models or knowledge of the healthcare industry is highly preferred.
  • Computer Vision:
    • Familiarity with computer vision and multimodal modeling is a plus.

Education Requirements

  • PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with at least 2+ years of relevant experience; OR
  • Master’s or Bachelor’s degree in a related field with at least 3+ years of relevant experience.

Why Join Oracle?

Oracle is committed to building cutting-edge AI applications and workflows, particularly for business and healthcare. This role offers the chance to work with pioneering AI technologies and to contribute to Oracle's Generative AI strategy.

At Oracle, we value diversity and promote a culture of continuous learning for career growth. We encourage candidates with diverse backgrounds and experience levels to apply.