Applied Scientist 5 @ Oracle | Jobright.ai
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Oracle · 2 days ago

Applied Scientist 5

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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.
Drives and plans implementation of company policy for achieving business goals.
Defines the bar for science practices, and helps teams achieve those goals.
Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering.
Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers.
Develop deep product intuition to influence future product roadmaps and drive decision making.
Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings.
Engage in forward looking research both internal and with academic institutions globally.
Hires and mentors across the org.
Perform an active role in team planning, review and retrospective events.
Ensures experiments are ready for hand-off to Software Developers ship into production.
May perform other duties as assigned.

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 AILLM frameworksData collection solutionsHealthcare AIComputer visionPublication recordMentoring scientistsProject planning

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 3+ 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. 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

Company

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 Company
Total Funding
unknown
Key Investors
Sequoia Capital
1986-03-12IPO
1983-01-01Series Unknown

Leadership Team

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Chaitanya M. Kamat
Managing Director & Chief Executive Officer
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Safra Catz
CEO
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Company data provided by crunchbase
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