Oracle · 3 hours ago
Senior Principal Applied Scientist
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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
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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
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (794)
2022 (1124)
2021 (1049)
2020 (764)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
Sequoia Capital
1986-03-12IPO· nyse:ORCL
1983-01-01Series Unknown· Undisclosed
Recent News
2024-11-08
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2024-10-29
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