Principal Applied Scientist

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WASanta Clara, CAAustin, TXNashville, TN
Salary
$126,200–$264,100 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $195k
$108k most similar roles pay here $293k

This role pays less than 69% of similar roles. Most pay $180,500–$243,062 — the shaded band above. At the midpoint, this role pays about $195k versus about $212k 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 666 open roles on FindRole.

Listed pay typically runs $102,300–$223,999 across 619 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Principal Applied Scientist

As a Principal Applied Scientist, you will join the product and research team to translate complex business needs into actionable research plans and production-ready solutions. You will lead end-to-end applied research by conducting state-of-the-art literature reviews, preparing high-quality datasets, and running proofs-of-concept to validate new technologies. Your daily work involves designing, training, and optimizing ML and AI models while developing robust code for deployment and monitoring. You will also be responsible for creating patents, white papers, and technical documentation to communicate findings to diverse audiences. The role requires deep expertise in business-critical research areas and a commitment to the scientific community through peer reviews and publications. You will collaborate with engineering and product teams to solve critical problems by integrating advanced machine learning techniques into scalable products and services.

What does a Applied Scientist earn?

Median $208800 from 50 postings across 10 companies.

See salary data

What you'll do

  • Translate business needs into research plans and production-ready AI/ML solutions.
  • Conduct literature reviews and state-of-the-art analyses to identify technical solutions for product problems.
  • Prepare high-quality datasets and develop proof-of-concept experiments to validate feasibility.
  • Design, train, and optimize ML models while managing the underlying data and training architectures.
  • Write and maintain production-ready code following best practices for version control and testing.
  • Create technical documentation, patents, and white papers to communicate research findings to diverse audiences.
  • Publish research findings in conferences and peer-reviewed journals to engage with the scientific community.
  • Collaborate with engineering teams to deploy, monitor, and iterate on models in production environments.

What we're looking for

  • Must have 3 to 5+ years of relevant experience.
  • Must be able to read, write, and speak English.
  • Must demonstrate advanced knowledge 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 develop high-quality, well-documented code using best practices for version control and deployment.
  • Must be able to conduct literature reviews and state-of-the-art analyses to identify research solutions.
  • Must be able to communicate complex findings to cross-functional audiences through white papers, patents, or technical documentation.
  • Must be able to lead the publication of research findings in conferences and other industry outlets.

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