AI/ML Lead for IV&V & Data Curation

Gopsusports; State College (Centre County); Hybrid; USD 140,000 - 266,000; Full time

Job summary

Penn State University in State College, PA or Reston, VA, is seeking an AI/ML Engineer to lead IV&V and the Data Curation Center of Excellence within ARL. You will guide labeling, data governance, and model evaluation, coordinating with researchers and program sponsors.

The role requires a strong background in AI/ML data workflows, Python/SQL, and experience with CVAT or Label Studio. This is an on-site position with DoD-related collaboration and data handling.

Qualifications

• Bachelor’s degree in CS, data science, information science, or engineering.
• Extensive experience managing AI/ML data curation or IV&V workflows.
• Proficiency in Python and SQL for data manipulation and pipelines.
• Experience with annotation tools like CVAT or Label Studio.

Responsibilities

• Lead IV&V and data curation efforts, setting acceptance criteria and standards.
• Mentor a team of engineers performing labeling, curation, and IV&V tasks.
• Design and oversee data pipelines for ingestion, transformation, and quality control.
• Lead data governance and metadata management for scalable datasets.
• Serve as liaison between data team, researchers, and sponsors; present findings.
• Evaluate tools and platforms and drive automation to improve efficiency.
• Maintain data catalogs and access-controlled repositories for discovery.
• Work within an Agile development environment on a large research team.

Skills

Python

SQL

Data annotation

IV&V workflows

Machine learning basics

Education

Bachelor's degree in CS/Data Science/Engineering

Tools

CVAT

Label Studio

Docker

Kubernetes

Job description

Penn State University in State College, PA or Reston, VA, is seeking an AI/ML Engineer to lead IV&V and the Data Curation Center of Excellence within ARL. You will guide labeling, data governance, and model evaluation, coordinating with researchers and program sponsors.

The role requires a strong background in AI/ML data workflows, Python/SQL, and experience with CVAT or Label Studio. This is an on-site position with DoD-related collaboration and data handling.