Artificial Intelligence / Machine Learning Verification and Validation Engineer

Job Number: REQ_0000079310

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, evaluation,
  and deployment

Preferred Skills/Experience areas include:

• Experience working with DoD or Intelligence
  Community data, workflows, or operational environments
• Familiarity with geospatial data formats (shapefiles, GeoJSON, AIS),
  imagery/FMV exploitation, or signals data processing
• Experience with data versioning tools (e.g., DVC, LakeFS) or data catalog
  platforms
• Knowledge of IV&V methodologies and quality assurance practices for data-driven systems
• Exposure to containerized
  development environments (Docker, Kubernetes) and cloud platforms (AWS, Azure)
• Current eligibility for access to classified
  information at the TS/SCI level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if
  required

Your working location will be fully on-site, located in State College, PA or Reston, VA. Questions
related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION, WORK EXPERIENCE
& REQUIRED CERTIFICATIONS

If filled as R&D Engineer – Artificial Intelligence (ARL) – Advanced Professional, this position requires:
Bachelor’s Degree – Engineering or Science
5+ years of relevant experience
Required Certifications:
None

If filled as R&D Engineer –
Artificial Intelligence (ARL) – Intermediate Professional, this position requires:
Bachelor’s Degree – Engineering or Science
2+ years of
relevant experience
Required Certifications:
None

If filled as R&D Engineer – Artificial Intelligence (ARL) – Professional, this position
requires:
Bachelor’s Degree – Engineering or Science
No prior relevant work experience required
Required Certifications:
None

ARL’s
purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the
Navy, the Intel Community (IC), and other federal government customers.

FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu.

BACKGROUND
CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with
University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):
Employees must be eligible to obtain a
government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements
applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified
Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from
certain areas. You must be a U.S. citizen to apply.

SALARY & BENEFITS

The salary range for this position, including all
possible grades, is $92,100.00 – $200,808.00.

Salary Structure – Information on Penn State’s salary structure

Penn State provides a competitive benefits package
for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and
vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One
of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more
detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus
Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual
Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning
alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE
LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified
applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected
veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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