Principal Applied Scientist

Oracle

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Quick summary

Work type
On-site
Location
—
Salary
$126,200–$264,100 / yr
Posted
7 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

JOB TITLE: Principal Applied Scientist As a Principal Applied Scientist within the Generative AI Science team, you will join a group responsible for growing Generative AI, Agent, and Analytics services. You will architect, build, and deploy high-quality AI models and solutions at scale, focusing on research and development for Large Language Models and Data Analytics. Your daily work involves designing and training state-of-the-art LLM models and Agents, exploring emerging technologies for structured and unstructured data, and providing technical leadership to junior scientists. You will utilize expertise in NLP, VLM, Retrieval, Enrichment, and AI/ML algorithms to solve real-world enterprise use-cases. This role addresses the technical challenge of delivering scalable, high-quality Generative AI-powered services while ensuring data remains safe and protected for large-scale enterprise customers.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

What you'll do

  • Conduct in-depth research on Large Language Model architectures, representations, evaluations, and optimizations.
  • Design, develop, and train state-of-the-art LLM models and AI Agents.
  • Architect and deploy high-quality AI models and solutions at a global enterprise scale.
  • Provide technical leadership and mentorship to junior scientists.
  • Integrate Generative AI capabilities into various applications and products with cross-functional teams.
  • Identify new opportunities for Generative AI and Data Analytics using structured and unstructured data.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • A PhD and 2+ years of relevant experience in Computer Science or related fields is required.
  • Candidates must have a strong publication record as a lead author in top-tier journals or AI/LLM/Analytics conferences.
  • Extensive experience in NLP, LLM, VLM, Retrieval, Enrichment, and Analytics is required.
  • Candidates must have a proven track record of leading research and development projects.
  • A strong understanding of AI/ML algorithms and architectures is required.
  • Strong leadership, communication, problem-solving, and analytical skills are required.
  • Experience with AI Agents and Large Language Models (LLMs) is required.

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