AI Jobs in Pennsylvania
AI jobs in Pennsylvania are concentrated in Philadelphia, Pittsburgh, and the growing tech corridor around King of Prussia, where employers like Comcast, PNC Financial Services, and UPMC are building out machine learning, natural language processing, and computer vision teams. Demand runs from entry-level data scientists to senior ML engineers and AI research leads, with healthcare AI and financial services automation among the most active specialties in the state. Pennsylvania is one of the more consistent hiring markets for AI talent in the Mid-Atlantic region. Find a role that fits below and apply directly.
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About Dunmore International Corp:
Acquired by Steel Partners in February 2018 as part of the Diversified Industrial Segment, Dunmore manufactures innovative technical films for Aerospace, Automotive, Commercial Graphics, Packaging applications. Dunmore has deep expertise in novel coatings, films and multi-layer laminates based on 14,000 unique chemistries and constructions, and significant experience in handling foils, plastics and fabrics. As a trusted Industry partner for over 50 years, Dunmore collaborates with customers in high growth markets to design, develop and manufacture a range of highly engineered value-added product solutions. Dunmore clients include several Fortune 500 companies across 25+ countries and is a Gold Level Supplier to one of the world's largest aircraft manufacturers. Dunmore's mission is to delight its customers through technical innovation, high levels of service and open collaboration to solve difficult application problems.
Summary
The AI & Data Intern will support Dunmore's data infrastructure, machine learning, and artificial intelligence initiatives through hands-on projects focused on data modeling, product classification, and AI-enabled workflow analysis. This role provides exposure to enterprise data engineering, machine learning, MLOps, data quality, and agentic AI concepts within a manufacturing environment.
The intern will collaborate with technical and cross-functional teams to help organize and enrich data, develop and test machine-learning approaches, map potential AI-enabled workflows, and support broader adoption of data and AI capabilities across the organization.
Essential Duties and Responsibilities
- Support data modeling and integration initiatives to improve the structure, quality, usability, and accessibility of enterprise data.
- Develop and evaluate machine-learning approaches for product-family mapping, including relationships between products and associated Bills of Materials (BOMs).
- Assist with data preparation, feature development, model testing, validation, and documentation for machine-learning projects.
- Support development and enrichment of centralized data models by identifying data relationships, inconsistencies, gaps, and data-quality improvement opportunities.
- Collaborate with departments to document business processes and develop agentic workflow maps identifying potential opportunities for AI-enabled process support.
- Assist with controlled testing of AI and agentic workflows, including autonomy gates, validation criteria, human review points, and other safeguards appropriate to the use case.
- Research AI, machine learning, MLOps, and data-engineering methods and summarize findings and potential applications for technical and business stakeholders.
- Document methodologies, experiments, results, limitations, and recommendations to support repeatability and knowledge sharing.
- Communicate project progress, technical findings, and recommendations clearly to technical and non-technical stakeholders.
- Perform AI and data-related work using approved tools, systems, data, and processes and in accordance with applicable Company policies and required oversight.
- Other Duties as needed or required
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skill, and Abilities:
- Strong analytical, critical thinking, and problem-solving skills.
- Effective written and verbal communication skills with the ability to work collaboratively across functions.
- Knowledge of or experience with artificial intelligence, machine learning, data engineering, or related technologies.
- Ability to collect, organize, analyze, and model data to support technical projects and experimentation.
- Exposure to research methods, technical or scientific literature, and experimentation preferred.
Education and Experience
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
- Coursework, project experience, or research experience in artificial intelligence, machine learning, data engineering, data modeling, or a related technical area preferred.
Physical Demands - OFFICE / TRAVEL
- Standing/Sitting 30/70%
- Walking/Bending/Stooping 30%
- Lifting Requirements: 15 pounds
- Travel by air, rail, auto (5% of time)
- Work in manufacturing area, QA lab and office areas
Exposures - Odors, Fumes, Noise, Chemicals, Temperature, Vision strain, Moving parts
Dunmore International Corp. is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Dunmore makes hiring decisions based solely on qualifications, merit, business needs at the time.
Compensation: 18.00
About Dunmore International Corp:
Acquired by Steel Partners in February 2018 as part of the Diversified Industrial Segment, Dunmore manufactures innovative technical films for Aerospace, Automotive, Commercial Graphics, Packaging applications. Dunmore has deep expertise in novel coatings, films and multi-layer laminates based on 14,000 unique chemistries and constructions, and significant experience in handling foils, plastics and fabrics. As a trusted Industry partner for over 50 years, Dunmore collaborates with customers in high growth markets to design, develop and manufacture a range of highly engineered value-added product solutions. Dunmore clients include several Fortune 500 companies across 25+ countries and is a Gold Level Supplier to one of the world's largest aircraft manufacturers. Dunmore's mission is to delight its customers through technical innovation, high levels of service and open collaboration to solve difficult application problems.
Summary
The AI & Data Intern will support Dunmore's data infrastructure, machine learning, and artificial intelligence initiatives through hands-on projects focused on data modeling, product classification, and AI-enabled workflow analysis. This role provides exposure to enterprise data engineering, machine learning, MLOps, data quality, and agentic AI concepts within a manufacturing environment.
The intern will collaborate with technical and cross-functional teams to help organize and enrich data, develop and test machine-learning approaches, map potential AI-enabled workflows, and support broader adoption of data and AI capabilities across the organization.
Essential Duties and Responsibilities
- Support data modeling and integration initiatives to improve the structure, quality, usability, and accessibility of enterprise data.
- Develop and evaluate machine-learning approaches for product-family mapping, including relationships between products and associated Bills of Materials (BOMs).
- Assist with data preparation, feature development, model testing, validation, and documentation for machine-learning projects.
- Support development and enrichment of centralized data models by identifying data relationships, inconsistencies, gaps, and data-quality improvement opportunities.
- Collaborate with departments to document business processes and develop agentic workflow maps identifying potential opportunities for AI-enabled process support.
- Assist with controlled testing of AI and agentic workflows, including autonomy gates, validation criteria, human review points, and other safeguards appropriate to the use case.
- Research AI, machine learning, MLOps, and data-engineering methods and summarize findings and potential applications for technical and business stakeholders.
- Document methodologies, experiments, results, limitations, and recommendations to support repeatability and knowledge sharing.
- Communicate project progress, technical findings, and recommendations clearly to technical and non-technical stakeholders.
- Perform AI and data-related work using approved tools, systems, data, and processes and in accordance with applicable Company policies and required oversight.
- Other Duties as needed or required
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skill, and Abilities:
- Strong analytical, critical thinking, and problem-solving skills.
- Effective written and verbal communication skills with the ability to work collaboratively across functions.
- Knowledge of or experience with artificial intelligence, machine learning, data engineering, or related technologies.
- Ability to collect, organize, analyze, and model data to support technical projects and experimentation.
- Exposure to research methods, technical or scientific literature, and experimentation preferred.
Education and Experience
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
- Coursework, project experience, or research experience in artificial intelligence, machine learning, data engineering, data modeling, or a related technical area preferred.
Physical Demands - OFFICE / TRAVEL
- Standing/Sitting 30/70%
- Walking/Bending/Stooping 30%
- Lifting Requirements: 15 pounds
- Travel by air, rail, auto (5% of time)
- Work in manufacturing area, QA lab and office areas
Exposures - Odors, Fumes, Noise, Chemicals, Temperature, Vision strain, Moving parts
Dunmore International Corp. is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Dunmore makes hiring decisions based solely on qualifications, merit, business needs at the time.
Compensation: 18.00
See All 12 AI Jobs in Pennsylvania
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Find AI JobsAI Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
AI Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Food & Beverage
- Transportation & Logistics
- Banking & Financial Services
- Healthcare & Medical Services
What Pennsylvania Employers Look For
The qualifications that appear most often in AI jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Proficiency in Python and at least one major ML framework such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Strong command of data wrangling, feature engineering, and statistical analysis methods
- Ability to communicate model results and technical findings to non-technical stakeholders
AI Jobs in Pennsylvania: Frequently Asked Questions
How do you become a ai in Pennsylvania?
AI roles in Pennsylvania do not require a state-issued license. The standard path is a bachelor's degree in computer science, data science, mathematics, or engineering, followed by hands-on project work or a master's program with a machine learning concentration. Pennsylvania universities including Carnegie Mellon, Penn State, and Drexel offer graduate programs specifically aligned with industry hiring needs. Building a portfolio of deployed models or Kaggle competition results strengthens applications considerably.
Which companies hire ais in Pennsylvania?
Employers hiring ais in Pennsylvania right now include Penn State University, EXL, and Aires, based on current listings on Migrate Mate as of September 2026. Pennsylvania's concentration of large healthcare systems, financial institutions, and defense contractors makes it a consistent source of applied AI demand beyond the typical tech startup market.
Which Pennsylvania cities have the most ai jobs?
Pittsburgh, University Park, and Duryea have the most ai openings in Pennsylvania. Philadelphia leads because of its density of health systems, insurance companies, and financial services firms, while Pittsburgh's strength comes from Carnegie Mellon University's research ecosystem and the robotics and autonomous systems companies it has attracted, and King of Prussia draws demand from the large corporate campuses clustered along the Route 202 corridor.
Are there remote ai jobs in Pennsylvania?
Yes, and more than most fields. About 40% of ai openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting the desk-based and analytical nature of most AI work. Roles focused on model development, data pipeline engineering, and research tend to offer the most flexibility, while positions requiring close collaboration with on-site clinical or operations teams are more likely to require in-person presence.
How can I get hired as a ai in Pennsylvania with little or no experience?
The most realistic entry path is through a rotational data or analytics program at a large Pennsylvania employer. UPMC, Comcast, and PNC Financial Services all run structured associate or new-grad programs that include AI and machine learning tracks. Entry roles with titles like junior data scientist, associate ML engineer, or analytics associate are the most common on-ramps. A strong GitHub portfolio with at least one end-to-end deployed project, or completion of a graduate certificate from a Pennsylvania institution, meaningfully improves your chances.
Where can I find and apply to ai jobs in Pennsylvania?
You can find and apply to ai jobs in Pennsylvania on Migrate Mate, which lists current openings tied to the state. Search the listings, find roles that match your background and target location, and apply directly to the ones that fit.
See All 12 AI Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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