Machine Learning Jobs in Pittsburgh, PA
Machine Learning jobs in Pittsburgh, Pennsylvania cluster in Oakland, Shadyside, and the Strip District, where a dense concentration of universities, healthcare systems, and tech firms generates steady demand for ML talent in healthcare AI, autonomous systems, and research. Employers hiring right now include Carnegie Mellon University, Motional, and Stack AV. Scan the live roles below and apply to whichever ones fit.
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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 39 Machine Learning Jobs in Pittsburgh
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Find Machine Learning JobsMachine Learning Job Market in Pittsburgh
Who's Hiring
Top Industries Hiring
- Technology & Software11
- Manufacturing4
- Science & Research2
Machine Learning Jobs in Pittsburgh: Frequently Asked Questions
How do I get a machine learning job in Pittsburgh?
Pittsburgh's machine learning market is anchored by healthcare, robotics, and academic research, so candidates who can show applied work in those domains have a clear edge locally. Target employers in Oakland's university and hospital corridors, the Strip District's growing tech scene, and defense and autonomous-vehicle contractors operating throughout the metro. A portfolio of real projects, contributions to open-source work, and familiarity with Pittsburgh's research-driven culture matter more here than credentials alone.
Which companies hire machine learnings in Pittsburgh?
Employers hiring machine learnings in Pittsburgh right now include Carnegie Mellon University, Motional, and Stack AV, based on current listings on Migrate Mate as of September 2026. Pittsburgh's hiring base skews toward research institutions, large health systems, robotics and autonomous-vehicle companies, and enterprise software firms with local engineering hubs.
Are there remote machine learning jobs in Pittsburgh?
Yes, and machine learning roles are among the more remote-friendly technical positions since most of the work involves code, data pipelines, and model training rather than on-site equipment. About 26% of machine learning openings tied to Pittsburgh are remote or hybrid as of September 2026, with research and applied-ML engineering roles most likely to offer location flexibility. Roles tied to robotics hardware or clinical data environments in Pittsburgh tend to require more in-person presence.
How can I get a machine learning job in Pittsburgh with little or no experience?
The most realistic entry path in Pittsburgh is through research assistantships or junior data roles at Carnegie Mellon, the University of Pittsburgh, or their affiliated research centers, which regularly hire early-career candidates. Local health systems and smaller robotics startups in the Strip District also bring on ML engineers at the associate level for data labeling, model evaluation, and pipeline work. Building a public project portfolio in healthcare or vision tasks, two areas that dominate Pittsburgh hiring, gives entry-level candidates a concrete local angle.
Which industries hire the most machine learnings in Pittsburgh?
Most machine learning openings in Pittsburgh sit in Technology & Software, Manufacturing, and Science & Research, per current listings on Migrate Mate as of September 2026. Pittsburgh's concentration of top-ranked universities, UPMC and Allegheny Health Network, and a long-established robotics and autonomous-systems cluster makes those sectors the dominant drivers of local ML hiring.
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See All 39 Machine Learning Jobs in Pittsburgh
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