Principal Applied Scientist

Oracle

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Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $126,200–$264,100 / yr
Posted: 96 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k

This role $195k

$108k $293k

below market most similar roles pay here above market

This role pays less than 69% of similar roles. Most pay $190,405–$255,900 — the blue band above. At the midpoint, this role pays about $195k versus about $223k 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 engineering, product, and security teams to translate complex identity and public safety needs into production-ready AI solutions. This role leads end-to-end applied research on next-generation facial recognition, including face verification, multi-face recognition, and defenses against deepfakes and adversarial threats. Key responsibilities include building high-quality datasets, running rigorous experiments, and designing, training, and optimizing models for real-world deployment. The position requires expertise in computer vision, facial biometrics, video understanding, multimodal AI, and agentic video analysis. The successful candidate will write well-documented code, perform literature reviews, and publish research findings in patents or white papers. This work addresses critical technical problems in secure identity and public safety by pushing the boundaries of biometric and video intelligence technologies.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

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Skills

Computer Vision Multimodal AI Facial Recognition Adversarial Machine Learning Machine Learning Model Training Fine-tuning Version Control Biometrics

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

Must have 3 to 5+ years of experience in the field.
Must be able to read, write, and speak English.
Demonstrate advanced knowledge in computer vision, facial biometrics, video understanding, multimodal AI, or adversarial machine learning.
Experience designing, training, evaluating, and optimizing AI models for real-world deployment.
Ability to develop high-quality datasets and conduct research on agentic video analysis and multi-face recognition.
Proficiency in writing reliable code, implementing version control, and maintaining technical documentation.
Proven ability to publish research findings, patents, or white papers in the scientific community.
Experience collaborating with cross-functional teams to translate complex requirements into production-ready AI solutions.

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