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Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Deep technical understanding of Machine Learning and Deep Learning architectures like Transformers, training methods, and optimizers.
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Develop, implement, and optimize machine learning models, with focus on large language models and generative AI technologies, including training/finetuning and computation optimizations.
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At Oracle, we value diversity and encourage continuous learning for career growth. As a 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.
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The team's focus is on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized and automated healthcare. Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data Intelligence Platform.
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Masters or Bachelor's in a related field with 7+ years relevant industry experience for Principal role, 10+ years for Sr Principal. Oracle careers open the door to global opportunities where work-life balance flourishes.
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As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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Oracle is committed to incorporating generative AI into our applications and workflows for business users. Oracle is an Equal Employment Opportunity Employer*. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
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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.
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Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow, etc.
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We are unencumbered and will need your contribution to make it a world class engineering and data science center with the focus on excellence. Unused balance will carry over each year up to a maximum cap of 112 hours.
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A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems in the healthcare space.
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Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Voluntary benefits including auto, homeowner and pet insurance.
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We put our people first with flexible medical, life insurance and retirement options. Employees working fewer than 20 hours per week are not eligible for vacation. You will partner with our product, engineering, data science, research and field teams to help customers be successful using our products and influence our roadmap.
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Identify and mitigate risks in our plans and executions, especially at the intersection of business, engineering, and data science. Develop production code and advocate for the best coding and engineering practices.
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Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We're committed to including people with disabilities at all stages of the employment process.
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machine learning jobs Title: principal Company: Oracle
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