Be an early applicantLess than 25 applicants

Company

Oracle · 10 hours ago

Senior Principal Applied Scientist

United States

Full-time

Remote

Senior Level

$148K/yr - $248K/yr

5+ years exp

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Data GovernanceData Management

H1B Sponsor Likely

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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI model designMachine LearningDeep LearningGenerative AILarge Language ModelsData collection solutionsModel evaluationParameter-efficient fine-tuningInstruction fine-tuningPrompt engineeringHealthcare AI knowledgeLangChainLlamaIndexVectorStoresRetrieversLLM CacheLLMOps (MLFlow)LMQLPublication recordComputer visionMultimodal modelingRelated fieldMasters in related field

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.

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 5+ years relevant experience is preferred but not a must; OR

Masters or Bachelor’s in related field with 5+ years relevant experience

Preferred

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.

Benefits

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.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

Company

Oracle

Glassdoor

3.8

Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.

Founded in 1977

Austin, Texas, USA

10,001+ employees

https://www.oracle.com/

H1B Sponsorship

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Trends of Total Sponsorships

2023 (794)

2022 (1124)

2021 (1049)

2020 (764)