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Machine Learning Software Engineer Intern Jobs in Minnesota

THOMSON REUTERS

Lead Software Engineer, AI

Eagan, MN

Lead Software Engineer, AI Are you ready to shape the future of AI-driven content technology while ... In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a ...

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN · On-site

Lead Software Engineer, AI Are you ready to shape the future of AI-driven content technology while ... In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a ...

Epic

Software Engineer

Mankato, MN · On-site

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

Danaher

Software Engineer Internships

Duluth, MN

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 ...

Danaher

Software Engineer Internships

Plymouth, MN

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 ...

Danaher

Software Engineer Internships

Rochester, MN

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 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 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 most commonly searched types of Machine Learning Software Engineer jobs in Minnesota? The most popular types of Machine Learning Software Engineer jobs in Minnesota are:
Machine Learning Software Engineer Intern jobs near you
Software Engineer/ software developer

Software Engineer/ software developer

Three Point Solutions, Inc.

Arden Hills, MN • On-site

Full-time

Posted 22 days ago

Job description

Job Title: Software Engineer
Client: Medical Device Manufacturing Company
Duration: 06 Months
Location: Arden Hills, MN 55112
Shift: 1st Shift
Description
This role focuses on developing production-ready software for manufacturing automation systems, including motion control, machine vision, robotics, and factory-ready applications. The position supports both engineering teams and factory deployment environments, requiring strong experience in C#/.NET, hardware integration, and UI frameworks.
Responsibilities
Software Development
  • Develop application frameworks and production-grade adapter/driver components.
  • Integrate motion controllers, I/O modules, sensors, machine vision systems, and robotic equipment.
  • Implement communication using industrial protocols (TCP/UDP, Ethernet/IP, Modbus, serial).
  • Build GUI/HMI-focused applications suitable for factory use.
  • Create configuration and diagnostic tooling for deployment environments.
  • Write unit and integration tests; participate in peer design/code reviews.
  • Test software in both simulated and hardware environments.
  • Implement dependency injection patterns across host and plugin assemblies.
  • Prepare technical documents, developer guides, and support materials.
  • Collaborate with mechanical, software, controls, and process engineering teams.

No-Code Visual Programming
  • Enhance UX for a node-graph editor used in a no-code programming IDE.
  • Develop visual programming blocks supporting manufacturing workflows.
  • Improve source-generation and runtime loading features using Roslyn.

Minimum Qualifications
  • 5+ years of professional experience developing production systems in C#/.NET.
  • Proficiency with WPF, WinUI, MAUI, or similar UI frameworks (MVVM, custom controls).
  • Experience with plugin/host architectures, dynamic loading, versioning, and API stability.
  • Strong background integrating software with manufacturing automation hardware.
  • Test-driven mindset using frameworks such as xUnit/NUnit, including mocked hardware.
  • Experience testing software in lab environments.
  • Proficiency in Git (GitHub/GitLab) and CI pipelines.
  • Strong communication and documentation skills.

Desired Domain Experience
  • Manufacturing equipment automation.
  • Delivered solutions for factory/robotics automation (electronics, semiconductor, medical, industrial).
  • Machine vision experience (Cognex VisionPro preferred).
  • Machine learning/deep learning exposure.
  • Roslyn, code generation, and source-generator development.
  • Integration with MES systems, process recipes, parameter management, and alarm/event handling.
  • Familiarity with state machines, SEMI (SECS/GEM) standards, and ISA-95 concepts.

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