AI Research Scientist Jobs in Pennsylvania
AI Research Scientist jobs in Pennsylvania are in strong demand, concentrated in healthcare AI, defense and intelligence systems, and enterprise software, with openings at every level from entry-level research associate through principal and distinguished scientist. The heaviest hiring is in Philadelphia, Pittsburgh, and the suburban Route 202 corridor, where anchors like the University of Pennsylvania Health System, Booz Allen Hamilton, and Carnegie Mellon University's applied research units draw consistent investment. The most sought-after specialties in Pennsylvania are large language model development, computer vision, and AI safety and reliability engineering. 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 15 AI Research Scientist Jobs in Pennsylvania
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Find AI Research Scientist JobsAI Research Scientist Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
AI Research Scientist 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 research scientist jobs across Pennsylvania.
- PhD in computer science, machine learning, statistics, or a closely related field
- Demonstrated publication record in peer-reviewed AI or machine learning venues
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments end-to-end
- Ability to communicate complex research findings to cross-functional technical teams
- Familiarity with responsible AI principles, model evaluation, and safety benchmarking
AI Research Scientist Jobs in Pennsylvania: Frequently Asked Questions
How do you become a ai research scientist in Pennsylvania?
The standard path in Pennsylvania is a doctoral degree in machine learning, computer science, statistics, or a related field, followed by postdoctoral work or industry research experience. No state-issued license applies to this role, but Pennsylvania employers, especially in healthcare AI and defense, often require security clearance eligibility or IRB familiarity for research involving human data. Strong publication history and open-source contributions carry significant weight with Philadelphia and Pittsburgh hiring teams.
How much do AI research scientists make in Pennsylvania?
AI research scientists in Pennsylvania earn a median of about $130,300 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,330 for the lowest 10% to over $175,480 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research scientists in Pennsylvania?
Employers hiring ai research scientists in Pennsylvania right now include Penn State University, Carnegie Mellon University, and EXL, based on current listings on Migrate Mate as of September 2026. Pennsylvania's concentration of academic medical centers, defense contractors, and fintech firms means hiring is distributed across sectors rather than dominated by a single industry vertical.
Which Pennsylvania cities have the most ai research scientist jobs?
Pittsburgh, University Park, and Duryea account for the largest share of ai research scientist openings in Pennsylvania. Philadelphia leads because of its dense cluster of academic medical centers, insurance technology firms, and proximity to New Jersey pharma R&D campuses, while Pittsburgh's strength in robotics and autonomous systems research, anchored by Carnegie Mellon University and national labs in the region, sustains a separate and highly active hiring market.
Are there remote ai research scientist jobs in Pennsylvania?
Yes, and more than most fields. About 36% of ai research scientist openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how much of the work centers on computation, model development, and writing rather than on-site lab presence. Positions focused on pure modeling, NLP, or theoretical research tend to offer the most location flexibility, while roles requiring access to proprietary hardware or classified environments stay on-site.
How can I get hired as a ai research scientist in Pennsylvania with little or no experience?
The most realistic entry path is a research internship or PhD rotation with a Pennsylvania university-affiliated lab, such as those connected to Penn Engineering, Carnegie Mellon, or Drexel, which frequently convert to full-time roles. Adjacent positions like machine learning engineer, research engineer, or data scientist at Pennsylvania employers can bridge into a research scientist title with a strong project portfolio. Building a public GitHub presence with reproducible experiments and submitting to workshops at major AI conferences gives candidates a concrete edge during screening.
Where can I find and apply to ai research scientist jobs in Pennsylvania?
You can find and apply to ai research scientist jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings. Find roles that fit your background and apply directly from the listing.
See All 15 AI Research Scientist Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find AI Research Scientist Jobs