Biometrics AI/ML Engineer — Multimodal Vision & Analytics

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

On-site fitness

Retirement plan

Relocation assistance

Educational assistance

Job summary

Oak Ridge National Laboratory's Human Analysis and Biometrics (HAB) group seeks a technically oriented AI/ML researcher to build models, pipelines, and evaluations. You will collaborate with cross-disciplinary teams to advance data‑driven decisions and deploy recognition tools for national security and other domains.

The role focuses on multimodal learning, computer vision, and scientific machine learning, with emphasis on reproducible data pipelines and robust benchmarking.

Qualifications

• A BS degree in computer science, computational science, data science, artificial intelligence, or related field.
• Experience with agile software development methodologies such as SCRUM.
• Strong foundation in machine learning, deep learning, or computer vision.
• Strong Python development skills and familiarity with git, CLI tooling, VS Code.
• Proficiency with PyTorch and/or TensorFlow, along with other Python ML development packages; experience building, training, evaluating ML/DL models.
• Experience implementing reproducible data/model pipelines and documenting assumptions, parameters, metrics, and results.

Responsibilities

• Contributes to requirements definition, design, and development of software applications in supporting the needs of projects as directed by the Principal Investigator and/or software team lead.
• Develop AI/ML models and systems for diverse data and mission contexts.
• Conduct independent and collaborative research in AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning.
• Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and predictive modeling.
• Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment.
• Help the group envision, design, develop, test, and deploy human analysis and biometric recognition tools and prototypes.
• Conduct rigorous statistical analysis to aid in data exploration and interpretation.
• Benchmark and test & evaluate AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment‑ready systems.
• Disseminate results via technical reports, publications, presentations, and sponsor briefings.
• Visualize and explain complex data and model results to technical and non‑technical audiences.
• Contribute to research proposals and statements of work.
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace.

Skills

Python

Machine Learning

Deep Learning

PyTorch

TensorFlow

Git

CLI tooling

VS Code

Education

BS in computer science / computational science / data science / AI

Tools

PyTorch

TensorFlow

Job description

Oak Ridge National Laboratory's Human Analysis and Biometrics (HAB) group seeks a technically oriented AI/ML researcher to build models, pipelines, and evaluations. You will collaborate with cross-disciplinary teams to advance data‑driven decisions and deploy recognition tools for national security and other domains.

The role focuses on multimodal learning, computer vision, and scientific machine learning, with emphasis on reproducible data pipelines and robust benchmarking.