Artificial Intelligence​/Machine Learning Verification and Validation Engineer

Position: Artificial Intelligence / Machine Learning Verification and Validation Engineer
## Artificial Intelligence / Machine Learning Verification and Validation Engineer Apply locations:
Penn State University Parktime type:
Full time posted on:
Posted Yesterday job requisition :
REQ #
** APPLICATION INSTRUCTIONS:*** ## CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.* ## CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
* ## If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.###
** Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.**###   
** POSITION SPECIFICS
** We are searching for a talented, experienced, organized, detail-oriented, and highly motivated AI/ML Engineer to join our Independent Verification and Validation (IV&V) and Data Curation Center of Excellence in the Information Science Division within the All-Domain Analytics and Signatures Office (A2SO) at the Applied Research Laboratory (ARL).  This team serves as the foundation for effective machine learning—building, curating, and governing the data that directly determines whether AI/ML models succeed in operationally relevant environments.  

You will focus on hands-on work with classified multi-modal data, including imagery/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure to state-of-the-art AI/ML research.

ARL is an authorized DoD Skillbridge partner and welcomes all transitioning military members to apply.
** You will:
*** Label, annotate, and curate multi-modal datasets (imagery/FMV, geospatial, signals, text/documents) to support AI/ML model development and evaluation
* Design and implement data pipelines for ingestion, transformation, quality control, and cataloging of classified and open-source data
* Develop and maintain annotation standards, labeling guidelines, and data governance processes to ensure consistency and reproducibility across projects
* Conduct IV&V of datasets and model outputs to ensure data integrity, label accuracy, and fitness for intended use
* Collaborate with research scientists, algorithm developers, and program stakeholders to identify, acquire, and prioritize data requirements for specific AI/ML projects
* Build and maintain data catalogs, metadata schemas, and access-controlled repositories that make curated datasets discoverable and accessible to the broader research team
* Employ Python, SQL, and annotation platforms (e.g., CVAT, Label Studio) to automate labeling workflows, perform exploratory data analysis, and develop quality metrics
* Document data provenance, lineage, and known limitations to support model evaluation, reproducibility, and responsible AI practices
* Collaborate within an Agile development environment as part of a large research team
** Required Skills/Experience areas include:
*** Bachelor's Degree in Computer Science, Data Science, Information Science, Engineering, or a related technical field
* Proficiency in Python and SQL for data manipulation, analysis, and pipeline development
* Familiarity with data annotation tools and workflows (e.g., CVAT, Label Studio, or equivalent)
* Understanding of machine learning concepts, including how data quality impacts model training,…