Principal Applied Scientist

Oracle

Confirmed live yesterday High trust

Quick summary

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

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 on the Generative AI science team, you will drive research and development for innovative Generative AI and Data Analytics modeling. You will architect, build, and deploy high-quality AI models and solutions at scale while providing technical leadership and mentorship to junior scientists. Your daily work involves conducting in-depth research into Large Language Models—focusing on architecture, evaluation, and optimization—and developing state-of-the-art LLM models and Agents for enterprise use-cases. You will collaborate with cross-functional teams of engineers and product managers to integrate these capabilities into products handling both structured and unstructured data. The role requires expertise in NLP, LLM, VLM, Retrieval, Enrichment, and Analytics. You will solve complex problems involving the integration of Generative AI into large-scale enterprise services while staying updated on emerging technologies in the field.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

What you'll do

  • Conduct in-depth research on Large Language Model architectures, evaluation, and optimization techniques.
  • Design, develop, and train high-quality LLM models and AI agents for enterprise use.
  • Architect and deploy advanced Generative AI and Data Analytics solutions at a global scale.
  • Provide technical leadership and mentorship to junior scientists within the team.
  • Collaborate with cross-functional teams to integrate AI capabilities into various products and services.
  • Identify new opportunities and explore emerging technologies for structured and unstructured data.

What we're looking for

  • A PhD or a Master's degree in Computer Science or a related field is required.
  • Candidates must have at least 2 years of relevant experience in LLM, Agent, or Analytics research.
  • Applicants must possess 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 deep understanding of AI/ML algorithms and architectures is necessary.
  • Strong leadership, communication, and problem-solving skills are required.
  • Proficiency in AI Agents, Large Language Models (LLMs), and Oracle AI Database is required.

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