Senior ML Engineer Jobs in Pennsylvania
Senior ML Engineer jobs in Pennsylvania are concentrated in the healthcare IT, financial services, and defense technology sectors, with demand at every level from machine learning engineer through principal and staff engineer. The largest hiring metros are Philadelphia, Pittsburgh, and the Lehigh Valley corridor, where employers like Comcast, Carnegie Mellon University spinouts, and Vanguard maintain significant AI and data science teams. The most in-demand specialties are large language model fine-tuning, MLOps and model deployment infrastructure, and computer vision for healthcare imaging. 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 34 Senior ML Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Senior ML Engineer JobsSenior ML Engineer Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Senior ML Engineer 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 senior ML engineer jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, statistics, or a directly related field
- Five or more years of production machine learning experience including model deployment and monitoring
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Demonstrated experience designing and maintaining MLOps pipelines and feature stores
- Strong background in one Pennsylvania-dominant vertical such as healthcare AI, fintech modeling, or defense analytics
- Experience collaborating with cross-functional teams including data engineering, product, and research science
Senior ML Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a senior ml engineer in Pennsylvania?
Becoming a senior ml engineer in Pennsylvania does not require a state-issued license, but the realistic path runs through a degree in computer science, data science, or a related field followed by several years of progressively complex modeling work. Pennsylvania employers, particularly in the Philadelphia financial corridor and Pittsburgh's robotics and AI ecosystem, typically promote candidates who have shipped production models, led technical design reviews, and mentored junior engineers. Professional certifications from major cloud platforms strengthen candidacy for roles at large Pennsylvania healthcare systems and defense contractors.
How much do senior ML engineers make in Pennsylvania?
Senior ML engineers in Pennsylvania earn a median of about $107,230 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $59,890 for the lowest 10% to over $167,420 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Pennsylvania?
Employers hiring senior ml engineers 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, asset management firms, and defense primes means hiring tends to cluster around applied research and production engineering roles rather than pure academic research positions.
Which Pennsylvania cities have the most senior ml engineer jobs?
Pittsburgh, University Park, and Horsham account for the most senior ml engineer openings in Pennsylvania. Philadelphia draws the largest share because of its dense cluster of health systems, financial services firms, and Comcast's technology headquarters, while Pittsburgh benefits from Carnegie Mellon's AI research pipeline and a growing autonomous systems industry, and smaller markets like the Lehigh Valley see openings tied to logistics technology and regional hospital networks.
Are there remote senior ml engineer jobs in Pennsylvania?
Yes, and more than most fields. About 38% of senior ml engineer openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how much of the work centers on code, notebooks, and cloud infrastructure rather than physical presence. The parts of the role most consistently done remotely are model experimentation, feature engineering, and code review, while on-site expectations tend to appear in roles requiring access to sensitive healthcare data or classified defense systems.
How can I get hired as a senior ml engineer in Pennsylvania with little or no experience?
The most realistic entry path is securing a machine learning engineer or data scientist role at a Pennsylvania employer and building toward seniority from within. Large Pittsburgh employers connected to Carnegie Mellon's university partnerships regularly bring on new graduates through research collaborations and internship-to-hire pipelines. In Philadelphia, health system AI teams and asset managers like Vanguard run associate data science programs that accept candidates with strong portfolios even without direct industry experience. Contributing to open-source MLOps tooling and earning a cloud platform certification gives candidates a concrete edge in Pennsylvania screening processes.
Where can I find and apply to senior ml engineer jobs in Pennsylvania?
You can find and apply to senior ml engineer jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings across Philadelphia, Pittsburgh, and the rest of the state. Find roles that fit your background and apply directly to the employer through the listing.
See All 34 Senior ML Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Senior ML Engineer Jobs