Artificial Intelligence STEM OPT Jobs in Wisconsin
Artificial intelligence F-1 STEM OPT sponsorship jobs in Wisconsin are concentrated in Madison and Milwaukee, where employers like Epic Systems, Northwestern Mutual, and American Family Insurance hire AI and machine learning engineers. Wisconsin's growing university research ecosystem, anchored by UW-Madison, feeds a steady pipeline of STEM-eligible roles in AI infrastructure, data science, and intelligent systems.
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Madison, WI, USA.
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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
BASIC QUALIFICATIONS
Bachelor's degree or equivalent practical experience.
2 years of experience programming in C++, Python or Go.
* 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
PREFERRED QUALIFICATIONS
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience developing accessible technologies.
* Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (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.
COMPENSATION
The US base salary range for this full-time position is $141,000-$202,000 + 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.
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.
INTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Madison, WI, USA.
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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
BASIC QUALIFICATIONS
Bachelor's degree or equivalent practical experience.
2 years of experience programming in C++, Python or Go.
* 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
PREFERRED QUALIFICATIONS
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience developing accessible technologies.
* Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (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.
COMPENSATION
The US base salary range for this full-time position is $141,000-$202,000 + 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.
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.
STEM OPT Artificial Intelligence Job Roles in Wisconsin
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Search Artificial Intelligence Jobs in WisconsinArtificial Intelligence STEM OPT Sponsorship Jobs in Wisconsin: Frequently Asked Questions
Which artificial intelligence companies sponsor F-1 STEM OPT visas in Wisconsin?
Epic Systems in Verona is one of Wisconsin's most active STEM OPT sponsors, hiring AI and data science talent for healthcare technology. Northwestern Mutual and American Family Insurance in Milwaukee sponsor machine learning and predictive analytics roles. Generac and Rockwell Automation also hire AI engineers with STEM OPT authorization. Sponsorship varies by role and team, so confirming active Labor Condition Application filings with each employer is recommended.
Which cities in Wisconsin have the most artificial intelligence F-1 STEM OPT sponsorship jobs?
Madison leads Wisconsin for AI STEM OPT opportunities, driven by Epic Systems, UW-Madison research spinouts, and a cluster of healthtech and fintech startups. Milwaukee is the second strongest market, with insurance and financial services firms actively hiring for AI and machine learning roles. Waukesha and Appleton have smaller but growing AI employer bases, particularly in manufacturing automation and industrial AI applications.
What types of artificial intelligence roles typically qualify for F-1 STEM OPT sponsorship?
Roles that commonly qualify include machine learning engineer, data scientist, AI research scientist, natural language processing engineer, computer vision engineer, and MLOps engineer. These positions typically require a degree in computer science, statistics, electrical engineering, or a related STEM field. The role must appear on the USCIS list of STEM-designated degree programs, and the employer must be enrolled in E-Verify to authorize STEM OPT extensions.
How do I find artificial intelligence F-1 STEM OPT sponsorship jobs in Wisconsin?
Migrate Mate is built specifically for international students and filters AI jobs in Wisconsin by STEM OPT eligibility and employer sponsorship history, so you're not applying blind. You can review which Wisconsin employers have filed Labor Condition Applications for AI roles and confirm E-Verify enrollment before you apply. This saves time compared to manually cross-referencing OFLC filings and job postings across multiple sources.
Are there any state-specific or industry-specific considerations for F-1 STEM OPT in Wisconsin's AI sector?
Wisconsin's AI hiring is heavily shaped by healthcare IT and insurance, meaning many roles intersect with regulated data environments. Employers in these sectors may require additional background checks or security clearances that can affect onboarding timelines relative to your STEM OPT authorization window. UW-Madison's strong computer science and statistics programs also mean local competition for AI roles is high, so demonstrating practical experience with specific AI frameworks is important.