Machine Learning Intern Jobs in Pittsburgh, PA
Machine Learning Intern jobs in Pittsburgh are in strong demand, concentrated in Oakland, Shadyside, and the Strip District across robotics, autonomous systems, healthcare AI, and academic research. Employers actively hiring include Carnegie Mellon University, Stack AV, and Gather AI. 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 30 Machine Learning Intern Jobs in Pittsburgh
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Find Machine Learning Intern JobsMachine Learning Intern Job Market in Pittsburgh
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Science & Research
Machine Learning Intern Jobs in Pittsburgh: Frequently Asked Questions
How do I get a machine learning intern job in Pittsburgh?
Target Pittsburgh's densest hiring pockets: Carnegie Mellon University and the University of Pittsburgh generate a thick ecosystem of research labs and spinouts in Oakland that hire interns directly. The Strip District and Hazelwood Green host robotics and autonomous-vehicle firms that recruit heavily for ML roles. A portfolio of personal projects, familiarity with PyTorch or TensorFlow, and a connection to CMU's or Pitt's career networks give candidates a concrete edge in this market.
Which companies hire machine learning interns in Pittsburgh?
Companies currently hiring machine learning interns in Pittsburgh include Carnegie Mellon University, Stack AV, and Gather AI, per current listings on Migrate Mate as of September 2026. Pittsburgh's employer mix skews toward research-driven technology firms, robotics companies, and major health systems with active AI divisions.
Are there remote machine learning intern jobs in Pittsburgh?
Yes, though many roles tied to Pittsburgh's robotics and lab-based research require on-site access to hardware and data infrastructure. About 32% of machine learning intern openings tied to Pittsburgh are remote or hybrid as of September 2026, with remote work most common in data-focused and software-side ML tasks. Model training, data pipeline work, and analytics projects tend to be the most location-flexible portions of the role.
How can I get a machine learning intern job in Pittsburgh with little or no experience?
The most realistic entry path in Pittsburgh is through university-affiliated research labs, particularly at Carnegie Mellon or Pitt, where faculty-supervised internships are open to students with strong coursework but limited professional experience. Local startups in the Strip District and Hazelwood Green often hire early-career candidates willing to take on broad responsibilities. Building a public GitHub portfolio with a completed ML project and attending Pittsburgh-area AI meetups accelerates visibility with hiring managers at smaller firms.
Which industries hire the most machine learning interns in Pittsburgh?
The sectors hiring the most machine learning interns in Pittsburgh are Technology & Software, Manufacturing, and Science & Research, based on current listings on Migrate Mate as of September 2026. Pittsburgh's legacy in robotics research and its growing health-tech corridor make those industries the dominant drivers of local ML intern demand.
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See All 30 Machine Learning Intern Jobs in Pittsburgh
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