Machine Learning Intern Jobs in Pennsylvania
Machine Learning Intern jobs in Pennsylvania are concentrated in Philadelphia, Pittsburgh, and the Greater Lehigh Valley, where companies like Comcast, Carnegie Mellon University, and SAP actively recruit interns for roles in natural language processing, computer vision, and predictive analytics. Pennsylvania ranks among the most active markets in the mid-Atlantic for machine learning talent, with demand ranging from first-year undergraduates to graduate students with research experience. The most sought-after specialties include deep learning frameworks, large language model fine-tuning, and data pipeline engineering. See the openings below and apply to the ones that match your experience.
Find Machine Learning Intern JobsOverview
Showing 5 of 30+ Machine Learning Intern jobs
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. This is achieved by integrating various onboard data sources, including a priori maps, LiDAR, cameras, GPS, and other available information. As a Senior Engineer, you will contribute to the development, maintenance, and enhancement of algorithms and systems to ensure the required performance of the online map standards are met.
Responsibilities:
- Work in the team to deliver state-of-the-art online and offline perception and generative AI algorithms and systems for L4 self-driving vehicles.
- Write robust software for real-time, resource-constrained, safety-critical applications.
- Drive features and work streams from problem statement to delivery.
- Proactively identify limitations with the existing online mapping system and drive improvements.
- Align internal stakeholders with strong presentation and communication skills.
- Build consensus and execute on team priorities.
Qualifications:
- Experience architecting, training, and deploying deep learning models (transformers or diffusion or flow) into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience in software engineering and machine learning algorithm design.
- Prior experience in sensor fusion and/or online mapping is highly desirable.
- Fluency in Python.
- Experience with C++.
#LI-VJ1
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The Static World Perception team is responsible for generating the road elements that govern traffic flow for actors within the driving environment. This is achieved by integrating various onboard data sources, including a priori maps, LiDAR, cameras, GPS, and other available information. As a Senior Engineer, you will contribute to the development, maintenance, and enhancement of algorithms and systems to ensure the required performance of the online map standards are met.
Responsibilities:
- Work in the team to deliver state-of-the-art online and offline perception and generative AI algorithms and systems for L4 self-driving vehicles.
- Write robust software for real-time, resource-constrained, safety-critical applications.
- Drive features and work streams from problem statement to delivery.
- Proactively identify limitations with the existing online mapping system and drive improvements.
- Align internal stakeholders with strong presentation and communication skills.
- Build consensus and execute on team priorities.
Qualifications:
- Experience architecting, training, and deploying deep learning models (transformers or diffusion or flow) into real-world environments.
- Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience in software engineering and machine learning algorithm design.
- Prior experience in sensor fusion and/or online mapping is highly desirable.
- Fluency in Python.
- Experience with C++.
#LI-VJ1
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.
See All 30 Machine Learning Intern Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Machine Learning Intern Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Education
- Science & Research
What Pennsylvania Employers Look For
The qualifications that appear most often in machine learning intern jobs across Pennsylvania.
- Currently enrolled in a bachelor's or master's program in computer science, data science, or engineering
- Hands-on experience with Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Prior coursework or project experience in statistics, linear algebra, or machine learning fundamentals
- Ability to work on-site or hybrid at a Pennsylvania location for the internship duration
- Strong written and verbal communication skills for presenting model results to cross-functional teams
Machine Learning Intern Jobs in Pennsylvania: Frequently Asked Questions
How do you become a machine learning intern in Pennsylvania?
Machine learning intern roles in Pennsylvania do not require a state-issued license or certification. The typical path is enrollment in a computer science, data science, or engineering program at a Pennsylvania university, combined with hands-on project work or research experience. Candidates who build a portfolio of GitHub projects, contribute to faculty research labs, or complete relevant coursework in statistical modeling and deep learning are consistently the strongest applicants at Pennsylvania employers.
Which companies hire machine learning interns in Pennsylvania?
Companies currently hiring machine learning interns in Pennsylvania include Penn State University, Carnegie Mellon University, and Stack AV, per current listings on Migrate Mate as of September 2026. Pennsylvania's concentration of technology firms, financial services companies, and research universities means intern openings are spread across both large enterprise employers and university-affiliated research centers.
Which Pennsylvania cities have the most machine learning intern jobs?
Pittsburgh, University Park, and Horsham have the most machine learning intern openings in Pennsylvania. Philadelphia leads because of its density of financial technology, healthcare analytics, and large enterprise technology employers, while Pittsburgh's strength is driven by Carnegie Mellon University's robotics and AI ecosystem and the corporate research labs and autonomous vehicle firms that have clustered around it.
Are there remote machine learning intern jobs in Pennsylvania?
Yes, and more than most fields. About 43% of machine learning intern openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how much of the work involves code, data, and model experiments rather than physical presence. Roles focused on data pipeline development and model training tend to be the most remote-friendly, while positions requiring GPU cluster access or close lab collaboration are more likely to require on-site attendance.
How can I get hired as a machine learning intern in Pennsylvania with little or no experience?
The most realistic entry path is applying to structured intern programs at Pennsylvania research universities and large employers before a formal work history is established. Institutions like Carnegie Mellon, Penn State, and Drexel run faculty-supervised research assistant roles open to undergraduates with no prior industry experience. Building a portfolio of end-to-end projects on publicly available datasets, contributing to open-source repositories, and targeting applied data analyst or junior research assistant roles at Philadelphia-area financial and healthcare technology firms are concrete steps that open the door when a full machine learning credential is still in progress.
Where can I find and apply to machine learning intern jobs in Pennsylvania?
You can find and apply to machine learning intern jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings in one place. Search the listings, find the roles that fit your background and location, and apply directly to the ones that match.
See All 30 Machine Learning Intern Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Machine Learning Intern Jobs