Lead Principal Applied Scientist

Oracle

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Quick summary

Work type
On-site
Location
Santa Clara, CASeattle, WA
Salary
$158,300–$355,400 / yr
Posted
123 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $257k
$118k $381k
below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $183,762–$241,906 — the blue band above. At the midpoint, this role pays about $257k versus about $213k 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 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Lead Principal Applied Scientist

The Lead Principal Applied Scientist joins the product and research team to identify strategic business needs and drive the identification of machine learning and artificial intelligence solutions. This role involves leading the design and execution of research programs, preparing high-quality datasets, running proofs-of-concept, and optimizing ML/AI model architectures. The individual will guide technical teams to deploy solutions into production, maintain the codebase, and establish best practices for version control and code review. Key responsibilities include publishing research findings in top-tier conferences, creating patents, and interpreting complex data to inform technical strategy. The position requires expertise in model training, fine-tuning, and computation optimizations to solve complex product problems and advance state-of-the-art technologies within the business.

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

  • Must have 10+ years of experience in the field.
  • Must be able to read, write, and speak English.
  • Must demonstrate expertise and thought leadership in at least one business-critical applied research technology area.
  • Must be able to design, train, and optimize ML/AI models and solution architectures.
  • Must be able to lead the publication and presentation of research findings in top-tier conferences and journals.
  • Must be able to serve as a keynote speaker in conferences or panels.
  • Must be able to guide technical teams through the development, peer review, and production deployment of ML/AI solutions.

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