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Senior & Principal Applied Scientists
Job Description
Job Listing ID:
4562514
Job Title:
Senior & Principal Applied Scientists
Application Deadline:
Open Until Filled
Job Location:
Salem
Date Posted:
09/03/2026
Hours Worked Per Week:
Not Provided
Shift:
Not Provided
Duration of Job:
Either Full or Part Time, more than 6 months
SR You may contact this employer directly.
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Job Summary Job Description Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & Analytics. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Senior or Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Responsibilities Responsibilities Collaborate with product managers to translate business and product requirements into AI projects. Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. Coordinate with multinational teams to drive projects from research POC to production. Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. Lead and mentor applied scientists. Develop production code and advocate for the best coding and engineering practices. Participate in project planning, review, and retrospective sessions. Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Qualifications and Experience Demonstrated experience in designing and implementing scalable AI models for production. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Demonstrated experience leading and mentoring early-career scientists. Preferred Qualifications Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. Familiarity and experience with the latest advancements in multimodal modeling is a plus. Education PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 1+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 3+ years relevant experience Oracle is committed to incorporating generative AI into our applicatio... Computer and Information Research Scientists
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Compensation
Not Provided
Job Requirements
Experience Required:
See Job Summary
Education Required:
None
Minimum Age:
N/A