Principal Applied Scientist

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$126,200–$264,100 / yr
Posted
50 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $195k
$108k most similar roles pay here $293k

This role pays less than 70% of similar roles. Most pay $185,307–$248,440 — the shaded band above. At the midpoint, this role pays about $195k versus about $217k 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 · Principal Applied Scientist

As a Principal Applied Scientist, you will independently partner with engineering, product, and security teams to translate complex identity and public safety needs into ambitious research plans and production-ready AI solutions. You will lead end-to-end applied research involving next-generation facial recognition, face verification, multi-face recognition, and defenses against deepfakes and presentation attacks. Your daily work involves surveying the state of the art, building high-quality datasets, running rigorous experiments, and designing, training, and optimizing models for real-world deployment. You will utilize advanced computer vision, video understanding, multimodal AI, and adversarial machine learning to solve problems in secure identity and public safety. The role requires writing reliable code, creating patents or white papers, and collaborating with software engineers to deploy robust systems while advancing the organization's scientific leadership through peer reviews and community engagement.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

What you'll do

  • Translate complex identity and public safety requirements into actionable research plans and production-ready AI solutions.
  • Lead end-to-end applied research on facial recognition, multi-face recognition, and defenses against deepfakes and adversarial threats.
  • Design, train, evaluate, and optimize AI models, including computer vision pipelines and multimodal systems for real-world deployment.
  • Curate and prepare high-quality image, video, and multimodal datasets to ensure they meet rigorous quality standards.
  • Develop and maintain reliable code while implementing best practices for version control, testing, and documentation.
  • Author technical content such as patents, white papers, and peer-reviewed publications to advance the company's scientific leadership.
  • Collaborate with engineering teams to deploy and monitor AI models in production environments for accuracy and robustness.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • Candidates must have 3 to 5+ years of relevant experience.
  • Advanced knowledge is required in computer vision, facial biometrics, video understanding, multimodal AI, or adversarial machine learning.
  • Experience is required in designing, training, evaluating, and optimizing AI models for real-world deployment.
  • Ability to develop high-quality datasets and build robust computer vision pipelines and multimodal systems.
  • Proficiency in writing reliable code, implementing version control, and maintaining technical documentation.
  • Proven ability to produce research outputs such as patents, white papers, and peer-reviewed publications.
  • Experience collaborating with cross-functional teams to translate complex requirements into production-ready AI solutions.

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