AI Intern Jobs in Pennsylvania
AI Intern jobs in Pennsylvania are concentrated in the technology, financial services, and life sciences sectors, with demand spread across roles in machine learning, data pipeline development, and natural language processing. Philadelphia, Pittsburgh, and Malvern are the leading hiring metros, anchored by employers like Comcast, Carnegie Mellon University spin-outs, and Vanguard. Pennsylvania's strong university research corridor and established fintech presence keep entry-level AI talent in steady demand. Scan the live roles below and apply to whichever ones fit.
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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 21 AI Intern Jobs in Pennsylvania
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Find AI Intern JobsAI Intern Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
AI Intern Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Food & Beverage
- Science & Research
- Transportation & Logistics
- Banking & Financial Services
What Pennsylvania Employers Look For
The qualifications that appear most often in AI intern jobs across Pennsylvania.
- Enrollment in a bachelor's or master's program in computer science, AI, or a related field
- Hands-on experience with Python and common machine learning libraries such as TensorFlow or PyTorch
- Familiarity with data preprocessing, model training, and evaluation techniques
- Strong foundation in linear algebra, statistics, and probability for applied modeling work
- Experience using version control tools such as Git within a collaborative project environment
- Ability to communicate technical findings clearly to non-technical stakeholders and teammates
AI Intern Jobs in Pennsylvania: Frequently Asked Questions
How do you become a ai intern in Pennsylvania?
Becoming an ai intern in Pennsylvania starts with enrollment in a degree program at a Pennsylvania university with a strong computing or data science department, such as Carnegie Mellon, Penn State, Drexel, or Temple. Most Pennsylvania employers expect at least one completed course in machine learning or statistical modeling before extending an internship offer. Building a portfolio of projects on GitHub and completing relevant coursework in Python strengthens your candidacy significantly.
Which companies hire ai interns in Pennsylvania?
Pennsylvania ai intern roles are posted by Penn State University, Merck, and EXL and others right now, based on current listings on Migrate Mate as of September 2026. Pennsylvania's concentration of financial services firms in the Philadelphia suburbs and technology research institutions in Pittsburgh creates a particularly varied mix of AI internship opportunities across industries.
Which Pennsylvania cities have the most ai intern jobs?
Pittsburgh, University Park, and West Point have the most ai intern openings in Pennsylvania. Philadelphia draws heavy volume from its fintech and healthcare IT employers, Pittsburgh benefits from its university research ecosystem and robotics industry ties, and surrounding suburban corridors like Malvern and King of Prussia add openings from major financial and technology firms headquartered there.
Are there remote ai intern jobs in Pennsylvania?
Yes, and more than most fields. About 43% of ai intern openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how well the core work of model development and data analysis transfers to distributed environments. Roles focused on data labeling, literature review, and software-side ML tasks are the most consistently available in remote formats.
How can I get hired as a ai intern in Pennsylvania with little or no experience?
The most realistic entry path is applying directly to structured internship programs that large Pennsylvania employers run for students with no professional history, including programs at Comcast, Vanguard, and Penn Medicine, which recruit from Pennsylvania universities each spring. Contributing to open-source machine learning projects and completing a structured online certification in Python or deep learning builds a credible portfolio before your first interview. Adjacent roles like data analyst assistant or research assistant at a Pennsylvania university lab are also common stepping stones.
Where can I find and apply to ai intern jobs in Pennsylvania?
You can find and apply to ai intern jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings in one place. Search the available roles, find the ones that match your background and availability, and apply directly to each opening that fits your situation.
See All 21 AI Intern Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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