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Internship Machine Learning Engineer Jobs in Wisconsin

AgSource

AI Engineer

Watertown, WI · On-site +1

You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions. This isn't about AI for AI's sake. Sometimes ...

Generac

Principal Data & AI Architect

Waukesha, WI

Relevant certifications such as AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate. Work Experience

New

Allen Control Systems

WI · On-site

$170 - $230/hr

Computer Vision & Machine Learning Engineering Manager for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

New

Climate AI Nordics

WI · On-site

About the Position Dimensions Agri Technologies (DAT) provides smart data‑driven camera systems for precise pesticide spraying. This technology reduces chemical use by half and improves crop health ...

Abbott

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Abbott

Sr. Engineer, AI Platform

Madison, WI

$99K - $198K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI

$103K - $141K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Devitechs

WI · On-site

$95 - $135/hr

Design, develop, and deploy AI and Machine Learning solutions for business applications. * Build ... Collaborate with software developers to integrate AI solutions into products. * Perform data ...

New

Urus

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.

Farm Systems

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

... machine learning to modern generative AI, choosing the simplest tool that solves the problem ... Feature-engineering and data preprocessing for both structured farm data and unstructured sources.

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Showing results 41-60

All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Wisconsin

Internship Machine Learning Engineer information

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What are the most commonly searched types of Machine Learning Engineer jobs in Wisconsin?

The most popular types of Machine Learning Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Internship Machine Learning Engineer jobs?

Cities in Wisconsin with the most Internship Machine Learning Engineer job openings:

Internship Machine Learning Engineer jobs near you
Infographic showing various Internship Machine Learning Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Engineer

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 24 days ago

Job description


Turn decades of data into intelligence that helps feed the world.
VAS has decades of longitudinal data from some of the most productive dairy operations in the world. Our next challenge is turning that data into actionable intelligence that helps producers make better decisions.
We're looking for an AI Engineer to help build the next generation of intelligent capabilities within our products. You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions.
This isn't about AI for AI's sake. Sometimes the right answer is machine learning. Sometimes it's optimization, classical statistics or generative AI. We want someone with the technical depth and judgment to know the difference.
What You'll Do
  • Build and deploy production-grade AI/ML solutions that turn complex farm data into actionable intelligence.
  • Explore large, distributed and legacy datasets to uncover patterns and opportunities for new product capabilities.
  • Engineer features, select modeling approaches and design experiments to evaluate outcomes.
  • Move models from exploration into scalable, real-time production applications.
  • Integrate, deploy, fine-tune and monitor models using cloud infrastructure, including AWS and Databricks.
  • Build testing and observability for AI systems, including behavioral testing, trace analysis and agent debugging.
  • Evaluate emerging technologies such as agentic AI, MCP and orchestration frameworks.
  • Partner with product, engineering and dairy science teams to turn ambiguous customer problems into working solutions.
  • Help advance the tools, standards and practices that will support AI development at VAS.
  • Collaborate on user-facing AI experiences using React and TypeScript when needed.

What We're Looking For
We're looking for someone who has gone deep at the intersection of data + machine learning and has a track record of putting models into production.
Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. The path matters less than the depth of what you've built.
Ideally, you bring:
  • Significant experience building production software and AI/ML solutions, with demonstrated depth in data, machine learning and model deployment.
  • Experience working with complex, distributed or legacy data, including inconsistent schemas and incomplete records.
  • Strong experience with feature engineering, model selection, experimentation and evaluation.
  • The ability to work across approaches, from classical statistics and machine learning to modern generative AI, choosing the right solution for the problem.
  • Experience taking models from experimentation through production deployment and monitoring.
  • Experience with deep learning frameworks and cloud-based AI services.
  • Experience with AWS and/or Databricks.
  • Exposure to agentic architectures, MCP or modern AI orchestration frameworks.
  • Strong software engineering fundamentals and a pragmatic approach to solving problems.
  • The ability to translate ambiguous requirements into working systems and communicate technical tradeoffs across engineering, product and domain teams.
  • A bachelor's degree in Software Engineering, Computer Science, Data Science, AI/ML or a related field is preferred.

Why VAS?
VAS is the operating system of the modern dairy, with a leading U.S. market position and growing global reach. Our highly customizable systems have created an incredibly rich and complex data environment.
You'll have an opportunity to help shape what comes next. You'll help turn our rich data into intelligent, customer-facing solutions that create real-world value.
You can build AI anywhere. Here, you can use it to help feed the world.
About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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