Principal Applied Scientist
Posted 4 hours 3 minutes ago by Ll Oefentherapie
- Does this position require a security clearance? No
- Years 6 to 10+ years
- Additional Info Visa / work permit sponsorship is not available for this position
- Applicants are required to read, write, and speak the following languages English
As our 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.
ResponsibilitiesWhat you will do:
- 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.
- Demonstrated experience in designing and implementing scalable AI models for production.
- Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods including post training model alignment, multi lingual model alignment and model evaluation strategies.
- 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.
- Hands on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), Skills and other agentic workflows.
- 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.
- Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
- Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.
- 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 3+ years relevant experience is preferred but not a must; OR
- Masters or Bachelor's in related field with 5+ years relevant experience
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
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