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.
Find Machine Learning Engineer JobsOverview
Showing 5 of 10+ Machine Learning Engineer Jobs in Wisconsin with Visa Sponsorship
See all Machine Learning Engineer Jobs in Wisconsin with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in Wisconsin with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries.
ROLE AND RESPONSIBILITIES
We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML techniques—ranging from computer vision to large language models—to automate critical workflows such as blueprint understanding, 3D model generation, and materials forecasting. This role blends research, engineering, and domain expertise to deliver practical, production-ready AI systems that transform how homes are designed, estimated, and built.
What You Will Do:
- Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows.
- Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization of construction data.
- Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms.
- Drive the end-to-end ML lifecycle: from experimentation and training, to deployment, monitoring, and continuous improvement.
- Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.
- Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
- 5+ years of experience designing and deploying applied ML systems at scale.
- Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).
- Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).
- Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.
PREFERRED QUALIFICATIONS
- Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.
- Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.
COMPENSATION
- Compensation Range: $125,250 - $183,700
Ready to Join? Apply now at myparadigm.com/careers/
INTRODUCTION
Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries.
ROLE AND RESPONSIBILITIES
We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML techniques—ranging from computer vision to large language models—to automate critical workflows such as blueprint understanding, 3D model generation, and materials forecasting. This role blends research, engineering, and domain expertise to deliver practical, production-ready AI systems that transform how homes are designed, estimated, and built.
What You Will Do:
- Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows.
- Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization of construction data.
- Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms.
- Drive the end-to-end ML lifecycle: from experimentation and training, to deployment, monitoring, and continuous improvement.
- Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.
- Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
- 5+ years of experience designing and deploying applied ML systems at scale.
- Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).
- Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).
- Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.
PREFERRED QUALIFICATIONS
- Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.
- Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.
COMPENSATION
- Compensation Range: $125,250 - $183,700
Ready to Join? Apply now at myparadigm.com/careers/
Machine Learning Engineer Job Roles in Wisconsin
See all Machine Learning Engineer Jobs in Wisconsin
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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.