below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$190,262–$250,000
— the blue band above.
At the midpoint, this role pays about
$195k
versus about
$220k
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.
The [REMOTE] Principal Applied Scientist joins the Oracle Health & AI team to develop a platform for modernized, automated healthcare. This role focuses on building Generative AI-powered solutions for healthcare and enterprise customers by translating business requirements into AI projects. You will design and review architectures for data, model training, and evaluation while leading and mentoring junior and senior scientists. Key responsibilities include developing production code and driving projects from research POCs to production. Required expertise includes Machine Learning, Deep Learning architectures like Transformers, and LLM techniques such as parameter-efficient fine-tuning and advanced prompt engineering. You must be proficient with frameworks like LangChain, LlamaIndex, VectorStores, and MLFlow. The role solves complex business problems by applying academic advances in generative AI to production systems.
What does a Applied Scientist earn?
Median $208800 from 61 postings across 10 companies.
Translate business and product requirements into actionable AI projects.
Develop healthcare and enterprise features using generative AI, machine learning, and deep learning.
Design and review the architecture for data, model training, and evaluation of AI solutions.
Drive projects from research proof-of-concepts to full production across multinational teams.
Write production code while advocating for high engineering standards.
Lead and mentor both junior and senior applied scientists.
Identify and mitigate risks at the intersection of business goals and technical execution.
What we're looking for
Candidates must have 3 to 5+ years of relevant experience.
A PhD in a related field with 3+ years of experience is preferred, or a Bachelor's/Master's degree with 5+ years of experience.
Experience is required in designing and implementing scalable AI models for production.
Candidates must have deep knowledge of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
Practical experience with LLM and generative AI technologies including fine-tuning, prompt engineering, and frameworks like LangChain or LlamaIndex is required.
Proven experience in designing data collection/annotation solutions and systematic evaluation for production systems is required.
A strong publication record as a lead author or reviewer in top-tier journals or conferences is required.
Experience leading both senior and early-career scientists is required.
Generative AI
LLMs
Python
LangGraph
Retrieval-Augmented Generation
Natural Language Processing
Machine Learning
Statistical Modeling
AI Agents
Information Retrieval
Model Adaptation
LLM Evaluation
System Design
Data Science