Principal Applied Scientist - HDIP

Columbus, OH, United States

Job Description

Building off our Cloud momentum, Oracle has formed a new organization – Oracle Health Data Intelligence Platform. 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. 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 and data science center with the focus on excellence.

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. 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. 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.

Responsibilities

Responsibilities

Develop, implement, and optimize machine learning models, with focus on large language models and generative AI technologies, including training/finetuning and computation optimizations.

Collaborate with software engineers to deploy LLMs and other Generative AI models into production environments.

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, engineering, and data science.

Qualifications and Experience

Demonstrated experience in designing and implementing scalable AI models for production.

Deep technical understanding of Machine Learning and 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, 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.

Experienced leading senior scientists and 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 computer vision and multimodal modeling is a plus.

Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.

Education

PhD in Computer Science, Mathematics, Statistics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning with 4+ years relevant experience for Principal role, 7+ years for Sr Principal; OR:

Masters or Bachelor’s in a related field with 7+ years relevant industry experience for Principal role, 10+ years for Sr Principal.

Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and chip in to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!

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Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

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.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer