Principal Applied Scientist

Oracle

Confirmed live today High trust

Quick summary

Work type: On-site
Location: —
Salary: $126,200–$264,100 / yr
Posted: 12 days ago
Freshness: Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k

This role $195k

$108k $293k

below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $193,220–$256,850 — the blue band above. At the midpoint, this role pays about $195k versus about $225k 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 · Principal Applied Scientist

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The Principal Applied Scientist independently partners with science, engineering, and product teams to translate business needs into production-ready solutions. This role involves leading end-to-end applied research, including surveying the state of the art, preparing high-quality datasets, and running proofs-of-concept. The successful candidate will design, train, and optimize ML and AI models while developing efficient, bug-free code following best practices for version control and deployment. Key responsibilities include distilling insights for diverse audiences, contributing patents and white papers, and collaborating with software engineers to integrate services into production environments. The position requires deep expertise in business-critical research areas, utilizing advanced knowledge of ML technologies and computation optimizations to solve complex product problems and drive innovation through rigorous scientific processes and peer-reviewed publications.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

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Skills

Machine Learning Model Training Fine-tuning Version Control Testing Deployment Technical Documentation

What you'll do

Translate business needs into clear research plans and production-ready ML/AI solutions.
Perform literature reviews and state-of-the-art analyses to identify modeling approaches and data collection techniques.
Design, train, and optimize ML/AI models and solution architectures for production environments.
Prepare high-quality datasets and develop research proofs-of-concept to demonstrate technical feasibility.
Write and maintain efficient, bug-free code following best practices for version control and deployment.
Create patents, white papers, and technical documentation to communicate research insights to diverse audiences.
Lead the publication of research findings in conferences and industry outlets.
Monitor and evaluate model performance in production to ensure business problems are successfully solved.

What we're looking for

Applicants are required to read, write, and speak English.
Candidates must have 3 to 5+ years of relevant experience.
Demonstrate advanced knowledge in at least one business-critical applied research technology area.
Design, develop, and optimize ML and AI technologies, including model training, fine-tuning, and computation optimizations.
Develop efficient, bug-free, medium-complexity code from scratch while following best practices for version control and deployment.
Lead the publication and presentation of research findings in conferences and industry outlets.
Create patents, white papers, and technical documentation related to applied research outcomes.
Coach and mentor junior team members to foster continuous learning and knowledge sharing.

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