Job description

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, 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. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines

Requirements

Must-haves

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 .
ARL is an authorized DoD Skillbridge partner and welcomes all transitioning military members to apply.
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
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
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

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Platform: workday
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Benefits

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Dental

Vision

Paid Time Off