AI ML Engineering Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's AI/ML engineering hiring is concentrated in Philadelphia and Pittsburgh, where employers like Comcast, Carnegie Mellon University spinouts, and major health systems including UPMC actively recruit for machine learning roles. The state's strong research university network and growing fintech and healthcare AI sectors make it a consistent source of H-1B visa sponsorship activity for international candidates.
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Get Access To All JobsMission Summary:
We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.
What You'll Do:
- Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
- Drive innovation by researching and developing new large scale data warehousing and analysis.
- Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
- Build high-quality datasets to improve ML products through training & edge case validation.
- Provide statistical depth on model performance & generalization through rigorous error and change analysis.
- Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Excellent leadership, communication, and problem-solving skills.
- Proven record leading a small diverse dedicated team supporting a large user base.
- Experience in machine learning, data mining, and statistical analysis.
- Proven experience in developing and deploying large scale cloud frameworks.
- Strong programming skills in Python.
- Experience with large-scale data processing and distributed computing technologies.
Bonus Points:
- Ph.D. in Computer Science or a related field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with machine learning in the autonomous driving domain.
- Publications or contributions to the AI/ML community.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Mission Summary:
We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results.
What You'll Do:
- Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
- Drive innovation by researching and developing new large scale data warehousing and analysis.
- Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
- Build high-quality datasets to improve ML products through training & edge case validation.
- Provide statistical depth on model performance & generalization through rigorous error and change analysis.
- Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Excellent leadership, communication, and problem-solving skills.
- Proven record leading a small diverse dedicated team supporting a large user base.
- Experience in machine learning, data mining, and statistical analysis.
- Proven experience in developing and deploying large scale cloud frameworks.
- Strong programming skills in Python.
- Experience with large-scale data processing and distributed computing technologies.
Bonus Points:
- Ph.D. in Computer Science or a related field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with machine learning in the autonomous driving domain.
- Publications or contributions to the AI/ML community.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
AI ML Engineering Job Roles in Pennsylvania
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Search AI ML Engineering Jobs in PennsylvaniaAI ML Engineering Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Pennsylvania?
Comcast and its technology subsidiaries in Philadelphia regularly sponsor H-1B visas for machine learning roles. In Pittsburgh, companies tied to Carnegie Mellon's research ecosystem, along with UPMC and health tech firms, are active sponsors. Large financial institutions with Pennsylvania operations, including those in Philadelphia's fintech corridor, also file H-1B petitions for AI and data science engineering positions.
Which visa types are most common for AI/ML engineering roles in Pennsylvania?
The H-1B is the most common visa for AI/ML engineering roles in Pennsylvania, as these positions typically require at least a bachelor's degree in computer science, mathematics, or a related field, meeting the specialty occupation standard. Candidates with outstanding research records may qualify for the O-1A. F-1 graduates from Pennsylvania universities often begin on OPT or STEM OPT before their employer files an H-1B petition.
Which cities in Pennsylvania have the most AI/ML engineering sponsorship jobs?
Philadelphia and Pittsburgh account for the large majority of AI/ML engineering sponsorship activity in Pennsylvania. Philadelphia draws employers in fintech, media technology, and healthcare AI, while Pittsburgh's proximity to Carnegie Mellon University and the University of Pittsburgh has made it a recognized hub for machine learning research and commercialization. Smaller concentrations exist in suburban Philadelphia counties where pharmaceutical and biotech firms operate.
How to find ai ml engineering visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for roles where employers have a demonstrated history of visa sponsorship, so you can focus on AI/ML engineering openings in Pennsylvania without sifting through positions that don't support international candidates. Searching by state on Migrate Mate surfaces roles in Philadelphia, Pittsburgh, and surrounding areas from employers who have filed H-1B petitions for comparable positions.
Are there state-specific factors that affect AI/ML engineering sponsorship in Pennsylvania?
Pennsylvania's concentration of research universities, particularly Carnegie Mellon, Penn, and Pitt, creates a steady pipeline of F-1 graduates transitioning to sponsored roles, which means Pennsylvania employers are generally experienced with the H-1B process. Healthcare AI is a particularly active hiring area given the density of major health systems in the state. Prevailing wage requirements apply statewide, with Philadelphia and Pittsburgh commanding different wage levels reflecting local market conditions.
What is the prevailing wage for sponsored ai ml engineering jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.