Machine Learning Visa Sponsorship Jobs in Wisconsin
Wisconsin's machine learning job market centers on Madison and Milwaukee, where employers like Epic Systems, Exact Sciences, and American Family Insurance actively hire ML engineers and data scientists. The state's strong university pipeline from UW-Madison and growing health tech and insurtech sectors make it a practical destination for international candidates seeking visa sponsorship in machine learning.
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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 Job Roles in Wisconsin
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Search Machine Learning Jobs in WisconsinMachine Learning Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for machine learning roles?
Epic Systems in Verona, Exact Sciences in Madison, and American Family Insurance are among the Wisconsin employers that have sponsored work visas for technical roles including machine learning. Large healthcare organizations, insurance companies, and manufacturing firms with data science teams are the most consistent sponsors. Research-oriented employers tied to UW-Madison also hire ML talent with sponsorship support.
Which visa types are most common for machine learning jobs in Wisconsin?
The H-1B visa is the most common visa for machine learning roles in Wisconsin, as ML engineer and data scientist positions typically qualify as specialty occupations requiring a relevant bachelor's or higher degree. Some employers also sponsor O-1A visas for candidates with exceptional records in research or publications. Candidates already on OPT or STEM OPT are frequently hired before full H-1B sponsorship begins.
Which cities in Wisconsin have the most machine learning sponsorship jobs?
Madison accounts for the largest share of machine learning sponsorship activity in Wisconsin, driven by Epic Systems, Exact Sciences, the UW-Madison research ecosystem, and a growing cluster of health tech startups. Milwaukee is the second most active city, with financial services firms, manufacturing companies with predictive analytics needs, and regional enterprise employers contributing to ML hiring. Smaller opportunities exist in Green Bay and Appleton.
How to find machine learning visa sponsorship jobs in Wisconsin?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, and it lets you filter machine learning roles by state so you can focus on Wisconsin employers. Because sponsorship willingness varies significantly by company, filtering for confirmed sponsors saves considerable time. Migrate Mate surfaces roles from employers with a documented history of sponsoring H-1B and other work visas for ML and data science positions.
Are there any Wisconsin-specific factors that affect machine learning visa sponsorship?
Wisconsin's machine learning hiring is heavily concentrated in healthcare IT and insurance, meaning employers often require domain knowledge in those industries alongside core ML skills. UW-Madison produces a steady pipeline of ML graduates, so international candidates compete alongside strong local talent. Employers must pay H-1B holders the prevailing wage for the role and location, which is set by the Department of Labor and varies by metro area within Wisconsin.
What is the prevailing wage for sponsored machine learning 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.