Lead Principal Applied Scientist

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CASeattle, WA
Salary: $158,300–$355,400 / yr
Posted: 77 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k

This role $257k

$117k most similar roles pay here $381k

This role pays more than 80% of similar roles. Most pay $184,756–$246,150 — the shaded band above. At the midpoint, this role pays about $257k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Lead Principal Applied Scientist

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As a Lead Principal Applied Scientist, you will join the product and research team to identify strategic business needs and develop machine learning and artificial intelligence solutions. You will lead the design and execution of research programs, including surveying state-of-the-art technologies, preparing high-quality datasets, and running experiments to validate proposed solutions. Your daily responsibilities include designing and optimizing ML models, refining solution architectures, and overseeing the development of technical documentation like patents and white papers. You will guide technical teams through code reviews, version control, and production deployment while ensuring results solve specific business problems. The role requires expertise in advanced problem-solving, data-driven techniques, and research communication at top-tier conferences. You will bridge the gap between complex data analysis and practical application to advance the field of applied science within the organization.

Skills

Machine Learning Artificial Intelligence Model Training Fine-tuning Solution Architecture Version Control Technical Documentation

What you'll do

Identify and prioritize strategic business needs related to machine learning and artificial intelligence.
Design and execute research programs to develop new theories, tools, and state-of-the-art methodologies.
Oversee the training, fine-tuning, and optimization of ML/AI models and solution architectures.
Evaluate and manage high-complexity code while establishing best practices for version control and deployment.
Translate complex data insights into technical documentation, patents, and white papers.
Guide engineering teams to ensure the successful integration and production deployment of AI solutions.
Represent the company as a thought leader by publishing research and speaking at industry conferences.

What we're looking for

Applicants must be able to read, write, and speak English.
Candidates must have at least 10 years of relevant experience.
Experience in designing, training, and optimizing ML/AI models and solution architectures is required.
Expertise in high-quality dataset preparation, evaluation techniques, and research program execution is required.
Ability to write and review complex code while maintaining version control and technical documentation.
Proven ability to publish and present research findings at top-tier conferences or as a keynote speaker.
Experience in collaborating with engineering teams to deploy machine learning solutions into production environments.
Demonstrated leadership in identifying strategic business needs and mentoring team members on technical strategies.

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