Machine Learning Engineer Visa Sponsorship Jobs in Wisconsin
Machine learning engineer roles in Wisconsin are concentrated in Madison and Milwaukee, where employers like Epic Systems, Northwestern Mutual, and American Family Insurance have built out data and AI teams. The state's university pipeline, anchored by UW-Madison's strong computer science and statistics programs, makes it a consistent source of international ML talent seeking visa sponsorship.
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INNOVATE WITHOUT BOUNDARIES!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you’ll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry.
Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We’re just getting started. To learn more about our story click HERE.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.
Our Team’s Technology Obsession
The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.
The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.
You’ll be DISRUPTIVE through these duties and responsibilities:
- Research and introduce emergent technologies into the business which empower future product development.
- Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
- Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
- Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.
- De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
- Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
- Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.
What TOOLS you’ll bring with you:
- Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
- Effective at evaluating technology feasibility and moving through development process.
- Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
- Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
- Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
- Can develop in cloud, local, or edge environments leveraging associated libraries and tools.
- Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
- Familiar with different types of data collection methods or hardware in an engineering lab setting.
- Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
- Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
- 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
- Excellent technical communication skills and fundamental project management abilities.
- Periodic travel may be required, up to 10%.
- Hands on experience.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans.
- Generous 401 (K) savings plan.
- Education assistance.
- On-site wellness, fitness center, food, and coffee service.
- And many more, check out our benefits site HERE.
Milwaukee Tool is an equal opportunity employer.
Job Description:
INNOVATE WITHOUT BOUNDARIES!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you’ll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry.
Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We’re just getting started. To learn more about our story click HERE.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.
Our Team’s Technology Obsession
The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.
The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.
You’ll be DISRUPTIVE through these duties and responsibilities:
- Research and introduce emergent technologies into the business which empower future product development.
- Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
- Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
- Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.
- De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
- Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
- Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.
What TOOLS you’ll bring with you:
- Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
- Effective at evaluating technology feasibility and moving through development process.
- Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
- Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
- Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
- Can develop in cloud, local, or edge environments leveraging associated libraries and tools.
- Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
- Familiar with different types of data collection methods or hardware in an engineering lab setting.
- Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
- Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
- 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
- Excellent technical communication skills and fundamental project management abilities.
- Periodic travel may be required, up to 10%.
- Hands on experience.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans.
- Generous 401 (K) savings plan.
- Education assistance.
- On-site wellness, fitness center, food, and coffee service.
- And many more, check out our benefits site HERE.
Milwaukee Tool is an equal opportunity employer.
Machine Learning Engineer Job Roles in Wisconsin
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Search Machine Learning Engineer Jobs in WisconsinMachine Learning Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for machine learning engineers?
Epic Systems in Verona, Northwestern Mutual and American Family Insurance in Milwaukee, and Exact Sciences in Madison are among the Wisconsin employers with established records of sponsoring H-1B visas for technical roles. Large healthcare IT and insurance firms dominate sponsorship activity in the state, as they maintain dedicated immigration support infrastructure that smaller Wisconsin employers often lack.
Which visa types are most common for machine learning engineer roles in Wisconsin?
The H-1B is the most common visa for machine learning engineers in Wisconsin, given the role's clear specialty occupation classification requiring at least a bachelor's degree in computer science, statistics, or a related field. F-1 OPT and STEM OPT extensions are also widely used by recent UW-Madison and Marquette University graduates while they secure H-1B sponsorship from their employer.
Which cities in Wisconsin have the most machine learning engineer sponsorship jobs?
Madison accounts for the largest share of ML engineering sponsorship activity in Wisconsin, driven by Epic Systems, UW-Madison's research ecosystem, and a growing cluster of health tech and data companies. Milwaukee is the second-largest hub, with financial services firms like Northwestern Mutual and ManpowerGroup actively hiring for AI and machine learning roles. Outside these two cities, sponsorship opportunities are limited.
How to find machine learning engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically to employers willing to sponsor visas, so you can search machine learning engineer roles in Wisconsin without sifting through positions that exclude international candidates. The platform surfaces openings at Wisconsin employers like Epic Systems and Northwestern Mutual that have active sponsorship histories, which saves significant time compared to manually researching each company's immigration support.
Are there state-specific factors that affect visa sponsorship for machine learning engineers in Wisconsin?
Wisconsin's Department of Workforce Development publishes prevailing wage data that employers must reference when filing a Labor Condition Application for H-1B machine learning engineers. Madison's concentration of research institutions and health IT firms means many ML roles intersect with government-funded projects, which can affect sponsorship timelines. UW-Madison also produces a steady pipeline of international ML graduates who are familiar with OPT-to-H-1B transition planning.
What is the prevailing wage for sponsored machine learning engineer jobs in Wisconsin?
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.