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NetSuite · 4 months ago

Senior Applied Scientist - Oracle Health

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

NetSuite is a part of Oracle, which has created a new organization focusing on product development and strategy for Oracle Health. As a Senior Applied Scientist, you will be instrumental in shaping AI solutions, particularly in Generative AI and Large Language Models, to enhance healthcare services and enterprise applications.

Cloud ComputingComputerCRMiOSSaaSSoftware

No H1B

Security Clearance Required

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 both junior and senior 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

Qualification

AI model designMachine LearningDeep LearningGenerative AILarge Language ModelsData collection solutionsPublication recordHealthcare AI knowledgeComputer visionTeam leadership

Required

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

Experienced leading senior scientists and early-career scientists