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Machine Learning Software Engineer Intern Jobs in Wisconsin

Software Developer Intern

Antigo, WI · On-site

$20.75 - $27.25/hr

CoVantage Credit Union is seeking a Software Developer Intern. This individual will focus primarily on efforts related to software development, web development, backend/middle-tier development ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

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Machine Learning Software Engineer Intern information

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Wisconsin? The most popular types of Machine Learning Software Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Software Engineer Intern jobs? Cities in Wisconsin with the most Machine Learning Software Engineer Intern job openings:
Software Engineer

Other

Posted 20 days ago


Job description

We are seeking an experienced Software Engineering Manager who thrives as a working manager — someone who leads by example, isn''''t afraid to write code alongside their team, and brings both technical depth and people leadership to the table. This role sits at the intersection of hands-on engineering, team management, and cross-functional collaboration.

The ideal candidate brings a strong background in enterprise software development, on-premise solution deployment, and manufacturing or industrial technology environments. You are a pragmatic, open-minded technologist who values collaboration, continuous improvement, and emerging technologies like machine learning and robotics.

KEY RESPONSIBILITIES

•     Design and develop C#, Blazor, and RESTful API solutions

•     Architect scalable on-premises software with strong DB design

•     Integrate software with PLCs, HMIs, and MES platforms

•     Conduct code reviews and define engineering standards

•     Manage project scope, timelines, and Jira tracking

•     Champion ML/AI and robotics exploration for product roadmap

•     Translate business requirements into technical specifications

QUALIFICATIONS

•     5+ years software engineering experience

•     Strong proficiency in C# / .NET and Blazor

•     RESTful API design, implementation, and integration

•     Relational database experience (SQL Server, PostgreSQL)

•     On-premises software deployment and maintenance

•     Agile/Scrum and Jira project management

•     PLC/HMI and MES integration experience preferred

•     Exposure to ML frameworks and CI/CD pipelines a plus

WHAT WE VALUE IN THIS ROLE

We''''re not looking for someone who rigidly enforces a single methodology or technology stack. We want a leader who thinks broadly, adapts thoughtfully, and brings the team along for the journey. If you believe great software comes from empowered, collaborative teams — and you still love being in the code — this role was built for you.

✔ Hands-on technical contributor            ✔ Open-minded about technology choices

✔ Strong communicator & collaborator  ✔ Curious about ML, robotics & what''''s next

    ✔ Organized, Agile, delivery-focused       ✔ Comfortable in industrial/OT environments