AI/ML Data Systems Engineer – Scientific Data Discovery

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 110,000 - 150,000; Full time

Job summary

Oak Ridge National Laboratory (ORNL)Environmental Sciences Division seeks a Data Systems AI/ML Engineer for the Earth Sciences Informatics portfolio. You will build AI-driven methods to make ARM data easier to find and use, and design conversational interfaces powered by large language models to help researchers discover data intuitively.

You will work with a collaborative team to develop training datasets from ARM metadata records and deploy AI/ML solutions from prototype to production,

Qualifications

• BS/MS in computer science, data science, AI, or closely related field with 1–2 years of relevant experience
• Two years of Python programming experience for data processing, scripting, or ML workflows
• Familiar with core ML concepts (supervised/unsupervised learning, embeddings, model evaluation) and information retrieval concepts

Responsibilities

• Research, develop, and deploy AI/ML methods, including LLM-based conversational interfaces and retrieval systems
• Build and maintain training and evaluation datasets from ARM metadata
• Collaborate with data scientists, software engineers, and DevOps to move systems from prototype to production
• Support researchers and developers in creating tools for the ARM Data Center
• Grow into a leadership role in AI/ML engineering through deliverables, presentations, and collaborations across the ARM community

Skills

Python

ML concepts

NLP/LLMs

REST APIs

Docker

Git workflows

Data retrieval

Education

Bachelor's in CS/Data Science/AI

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Milvus

PGVector

Job description

Oak Ridge National Laboratory (ORNL)Environmental Sciences Division seeks a Data Systems AI/ML Engineer for the Earth Sciences Informatics portfolio. You will build AI-driven methods to make ARM data easier to find and use, and design conversational interfaces powered by large language models to help researchers discover data intuitively.

You will work with a collaborative team to develop training datasets from ARM metadata records and deploy AI/ML solutions from prototype to production,