ML Engineer Jobs in Pittsburgh, PA
ML Engineer jobs in Pittsburgh are in strong demand, concentrated in Oakland, Shadyside, and the Strip District across healthcare AI, autonomous systems, and robotics, with Carnegie Mellon University anchoring a world-class talent ecosystem nearby. 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 37 ML Engineer Jobs in Pittsburgh
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Find ML Engineer JobsML Engineer Job Market in Pittsburgh
Who's Hiring
Top Industries Hiring
- Technology & Software11
- Manufacturing4
- Science & Research2
ML Engineer Jobs in Pittsburgh: Frequently Asked Questions
How do I get a ml engineer job in Pittsburgh?
Focus on Pittsburgh's strongest hiring sectors: healthcare technology, autonomous vehicles, and robotics research. Employers in Oakland and the Strip District, including university spinouts and established tech firms, favor candidates with hands-on experience in deep learning frameworks and production model deployment. Attending CMU or Pitt-affiliated meetups and demo days gives local visibility that remote applications alone can't match, and a GitHub portfolio with real Pittsburgh-relevant use cases moves you to the top of shortlists.
Which companies hire ml engineers in Pittsburgh?
Companies currently hiring ml engineers in Pittsburgh include Carnegie Mellon University, Motional, and Stack AV, per current listings on Migrate Mate as of September 2026. Pittsburgh's employer mix is unusually research-forward, blending university spinouts, autonomous vehicle companies, and large health systems with strong AI investment.
Are there remote ml engineer jobs in Pittsburgh?
Yes, though availability depends on the role: modeling, research, and data pipeline work is often fully remote, while roles tied to hardware, robotics labs, or hospital systems in Pittsburgh typically require on-site presence. About 26% of ml engineer openings tied to Pittsburgh are remote or hybrid as of September 2026, reflecting the analytical and software-heavy nature of many local positions. Research and NLP-focused roles in particular skew most heavily toward flexible arrangements.
How can I get a ml engineer job in Pittsburgh with little or no experience?
The most realistic entry path in Pittsburgh is through research assistant or associate data scientist roles at CMU, Pitt, or their affiliated institutes, where junior candidates work on real projects and build direct employer connections. Local health systems like UPMC and autonomous-tech firms frequently post entry-level ML roles that accept candidates with strong project portfolios over formal experience. Competing in Pittsburgh-based AI challenges and contributing to open-source projects referenced by local employers also builds credibility that hiring managers here actively look for.
Which industries hire the most ml engineers in Pittsburgh?
The sectors hiring the most ml engineers in Pittsburgh are Technology & Software, Manufacturing, and Science & Research, based on current listings on Migrate Mate as of September 2026. Pittsburgh's concentration of top-tier research universities, a nationally significant autonomous vehicle corridor, and one of the country's largest health systems creates sustained, cross-industry demand that distinguishes the local market from most mid-sized cities.
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