Applied Scientist 4 jobs in United States
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Oracle · 16 hours ago

Applied Scientist 4

Oracle is a world leader in cloud solutions, committed to tackling today’s challenges with tomorrow’s technology. The Applied Scientist 4 role involves inventing, implementing, and deploying advanced machine learning algorithms and systems, while collaborating with various teams to create innovative solutions for customer needs.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
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H1B Sponsor Likelynote

Responsibilities

Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer
Write high quality code to power experiments and build models
Contributes to writing production model code
Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market
Set up environment needed to run experiments for all projects
Set up distributed environments
Engage with customers and help solve complex problems with the customer/partner
Directly impact our customers via innovation in products and services that make use of ML/AI technology
Clearly articulate technical work to audiences of all levels and across multiple functional areas
Keep track of the progress and ensure the team is following the best practices
Works on training data collection, feature engineering, model training, offline and online experimentation
Drives independent research and development
Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications
Ensure solutions are designed with fairness and explainability in mind
May perform other duties as assigned

Qualification

Machine LearningNatural Language ProcessingComputer VisionCloud ServicesTime Series AnalysisAutomatic Speech RecognitionData ScienceExperiment DesignFeature EngineeringModel TrainingEthical Considerations

Required

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems
Build prototypes and explore conceptually new solutions
Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations
Applies data science capabilities and research findings to create and implement solutions to scale
Responsible for developing new intelligence around core products and services through applied research on behalf of our customers
Develops models, prototypes, and experiments that pave the way for innovative products and services
Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU), Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV)
Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience
Conversant on ethical problems in consideration of sciences
Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer
Write high quality code to power experiments and build models
Contributes to writing production model code
Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market
Set up environment needed to run experiments for all projects
Set up distributed environments
Engage with customers and help solve complex problems with the customer/partner
Directly impact our customers via innovation in products and services that make use of ML/AI technology
Clearly articulate technical work to audiences of all levels and across multiple functional areas
Keep track of the progress and ensure the team is following the best practices
Works on training data collection, feature engineering, model training, offline and online experimentation
Drives independent research and development
Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications
Ensure solutions are designed with fairness and explainability in mind

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
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)

Funding

Current Stage
Public Company
Total Funding
$25.75B
Key Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO

Leadership Team

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Esteban Rubens
Healthcare Field CTO
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Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
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Company data provided by crunchbase