Machine Learning Manager Jobs in Pennsylvania
Machine Learning Manager jobs in Pennsylvania are in strong demand, concentrated in financial services, healthcare technology, defense contracting, and enterprise software, with openings at every level from early-career team leads through senior and principal-level managers. Philadelphia, Pittsburgh, and the greater Harrisburg corridor are the main hiring centers, home to established employers like Comcast, Carnegie Mellon University's affiliated tech ventures, and Lockheed Martin. The most sought-after specialties in Pennsylvania are natural language processing, computer vision for medical imaging, and MLOps infrastructure management. Find a role that fits below and apply directly.
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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 32 Machine Learning Manager Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Machine Learning Manager 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 manager jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Hands-on experience building and deploying machine learning models in production environments
- Proven ability to lead and mentor a team of data scientists or machine learning engineers
- Proficiency with Python, TensorFlow, PyTorch, and cloud platforms such as AWS or Azure
- Experience communicating technical results and model performance to non-technical business stakeholders
- Familiarity with MLOps practices including model versioning, monitoring, and CI/CD pipelines
Machine Learning Manager Jobs in Pennsylvania: Frequently Asked Questions
How do you become a machine learning manager in Pennsylvania?
There is no state-issued license required to work as a machine learning manager in Pennsylvania. The typical path starts with a bachelor's degree in computer science, mathematics, or engineering, followed by several years as a data scientist or machine learning engineer. Pennsylvania employers, particularly in Philadelphia's fintech corridor and Pittsburgh's robotics and AI ecosystem, consistently advance individual contributors who demonstrate both technical depth and the ability to coordinate cross-functional teams into management roles.
Which companies hire machine learning managers in Pennsylvania?
Employers hiring machine learning managers in Pennsylvania right now include Penn State University, Carnegie Mellon University, and Stack AV, based on current listings on Migrate Mate as of September 2026. Pennsylvania's concentration of healthcare systems, defense contractors, and large financial services firms means hiring tends to be stable and project-driven rather than seasonal.
Which Pennsylvania cities have the most machine learning manager jobs?
Pittsburgh, University Park, and Horsham have the most machine learning manager openings in Pennsylvania. Philadelphia dominates due to its dense cluster of financial services firms, health systems, and Comcast's technology operations, while Pittsburgh's standing as a global AI research hub, anchored by Carnegie Mellon University and a mature robotics industry, drives consistent hiring in that metro.
Are there remote machine learning manager jobs in Pennsylvania?
Yes, and more than most fields. About 43% of machine learning manager openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how readily the work translates to distributed environments. The parts of the role most commonly done remotely are model review, architecture planning, and stakeholder reporting, while on-site presence is more common when managing teams embedded in regulated industries like healthcare or defense.
How can I get hired as a machine learning manager in Pennsylvania with little or no experience?
The most realistic entry path is moving from a senior individual contributor role into a team lead or player-manager position rather than applying directly to manager titles. Pennsylvania-based health systems and large insurers in the Philadelphia area regularly post lead data scientist roles that carry informal management responsibilities and serve as a bridge. Building a portfolio that includes end-to-end deployed models, contributing to open-source projects associated with Pittsburgh's AI research community, and pursuing a cloud certification from AWS or Google strengthens a candidate's case considerably.
Where can I find and apply to machine learning manager jobs in Pennsylvania?
You can find and apply to machine learning manager jobs in Pennsylvania on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and location, and apply directly through each listing.
See All 32 Machine Learning Manager Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Machine Learning Manager Jobs