Artificial Intelligence Jobs in Pennsylvania with TN Sponsorship
TN visa sponsorship jobs in artificial intelligence are available across Pennsylvania, with hiring concentrated in Philadelphia and Pittsburgh. Major employers include healthcare systems like Penn Medicine and UPMC, technology firms, and universities conducting AI research. Canadian and Mexican professionals in qualifying AI roles can find active sponsorship opportunities throughout the state.
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pittsburgh, PA, USA; Mountain View, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 5 years of experience with software development in C++ and Python.
- 3 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, natural language processing).
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical fields.
- 5 years of work experience in machine learning software development and architectures for machine learning with focus on deep learning.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
ABOUT THE JOB
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $174,000-$255,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pittsburgh, PA, USA; Mountain View, CA, USA.
MINIMUM QUALIFICATIONS:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 5 years of experience with software development in C++ and Python.
- 3 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, natural language processing).
PREFERRED QUALIFICATIONS:
- Master's degree or PhD in Computer Science or related technical fields.
- 5 years of work experience in machine learning software development and architectures for machine learning with focus on deep learning.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
ABOUT THE JOB
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $174,000-$255,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Job Roles in Artificial Intelligence in Pennsylvania
See all 64+ Artificial Intelligence Pennsylvania jobs
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Get Access To All JobsFrequently Asked Questions
Which artificial intelligence companies sponsor TN visas in Pennsylvania?
Pennsylvania's largest TN sponsors in AI include health systems such as UPMC and Penn Medicine, which hire data scientists and machine learning engineers for clinical AI projects. Technology employers like Comcast and SAP operate AI teams in the Philadelphia area. Carnegie Mellon University and the University of Pennsylvania also sponsor TN workers in research and applied AI roles.
Which cities in Pennsylvania have the most artificial intelligence TN sponsorship jobs?
Philadelphia and Pittsburgh account for the majority of AI TN sponsorship activity in Pennsylvania. Philadelphia draws AI hiring from finance, healthcare, and enterprise software companies. Pittsburgh is a recognized AI research hub, anchored by Carnegie Mellon University and a growing cluster of robotics and autonomous systems companies. Harrisburg and Lehigh Valley have smaller but active pockets of AI hiring in government tech and logistics.
What types of artificial intelligence roles typically qualify for TN sponsorship?
TN sponsorship in AI most commonly applies to roles classified as Computer Systems Analysts, Engineers, or Scientists under the TN occupation list. In practice, positions such as machine learning engineer, data scientist, AI research scientist, and computer vision engineer regularly qualify. The job duties and the applicant's degree must align with a recognized TN occupation category, and the degree field should be relevant to the specific role.
How do I find artificial intelligence TN sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for TN-eligible candidates and filters AI jobs in Pennsylvania by visa type, so you see only roles where employers have indicated sponsorship willingness. Rather than sorting through general job boards and guessing at sponsorship availability, Migrate Mate surfaces machine learning, data science, and AI engineering positions in Pennsylvania that are relevant to Canadian and Mexican TN applicants.
Are there any Pennsylvania-specific considerations for TN sponsorship in artificial intelligence?
Pennsylvania's concentration of academic medical centers and university AI labs means many TN positions involve research components, which can affect how the role is classified and documented for TN purposes. Applicants should ensure their offer letter clearly describes duties matching a qualifying TN occupation. Pennsylvania employers familiar with TN sponsorship, particularly in Pittsburgh's tech and research corridor, tend to have streamlined processes compared to first-time sponsors.
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