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Internship Machine Learning Engineer Jobs in Mazomanie, WI

Staff Software Engineer

Madison, WI · On-site

$140 - $190/hr

As a Staff Software Engineer, you will be a technical leader within a cross-functional team ... Explore and integrate machine learning and data science techniques to enhance service matching ...

New

As a Staff Software Engineer, you will be a technical leader within a cross-functional team ... Explore and integrate machine learning and data science techniques to enhance service matching ...

... use by engineers and scientists. Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes. Integrate modeling software with ...

Significant experience (>10 years) with scientific computing, image analysis, and experience in developing Machine Learning Based Image Segmentation. Programing skills in MATLAB, Python, and Java ...

New

Showing results 41-60

Internship Machine Learning Engineer information

See Mazomanie, WI salary details

$25.3K

$42.2K

$87.2K

How much do internship machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for internship machine learning engineer in Mazomanie, WI is $42,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

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.

Software Development Engineer

Yahara Software

Madison, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description


Software Development Engineer

We're looking for exceptionally talented Software Development Engineers who are passionate about solving real-world problems and making a measurable difference. If this sounds like you, we'd love to talk to you about immediate and future needs!

Join a team recognized as one of Madison Magazine's Best Places to Work, where innovation thrives, collaboration drives success, and we don't just build software - we empower people and transform industries.

Important Notes about this Position:

  • This position offers remote work flexibility but is only open to candidates who reside in or are willing to relocate to the greater Madison, WI area.
  • We are unable to provide sponsorship at this time.


Summary

The Software Development Engineer (SDE) is responsible for building and enhancing solutions within an existing codebase, with a focus on delivering value across biohealth, transportation, and public health sectors. The SDE works closely with clients to understand their needs and implement solutions on full-stack technologies. They will also serve as expert technical consultants on assigned client projects. This position operates chiefly in an agile environment and requires strong collaboration with project teams.

Our Approach

At Yahara, we build on a foundation of strong software engineering fundamentals-robust development methodologies, rigorous testing practices, and sound architectural principles. We stay current with emerging technologies, thoughtfully integrating AI/ML tools where they enhance our development workflow and accelerate delivery, while ensuring that critical thinking, proper problem decomposition, and engineering discipline remain at the core of everything we build. We retain responsibility for quality, accuracy, and understanding of our work.

What You'll Do:

  • Develop new solutions and features within our existing codebase to meet client requirements.
  • Implement full-stack solutions across both front-end and back-end technologies.
  • Participate in Agile workflow practices, including backlog grooming and ticket pointing, stand-ups, sprint planning, and retrospectives - evaluating project successes, challenges, and opportunities for improvement.
  • Engage in code reviews by peer reviewing and providing constructive feedback to team members.
  • Professionally demonstrate completed work to clients, ensuring satisfaction and alignment with expectations.
  • Collaborate with technical leadership to serve as an expert consultant on assigned client projects, providing guidance and recommendations beyond day-to-day development work.
  • Work with containerized development solutions using Docker and Docker-Compose.
  • Evaluate and integrate third-party tools and frameworks for suitability within projects.
  • Collaborate closely with other Developers and supporting team members to deliver high-quality solutions.
  • Continuously learn and adopt new technologies, applying them creatively to solve client challenges.
  • Develop comprehensive technical documentation to facilitate future software development and maintenance.
  • Perform data analytics and build predictive models to extract insights from complex datasets and support data-driven decision making.
  • Design, train, and deploy machine learning models to solve business problems and improve system capabilities.

What You'll Bring

Experience & Education:

  • 3-10 years of Software Development experience.
  • Bachelor's, Associate's or higher degree in Computer Science or related discipline (or equivalent experience).
  • Strong background in a variety of software design and development concepts as they apply across the software development lifecycle.

Mindset & Approach:

  • Self-starter with a passion for software development and desire to develop quality solutions within a collaborative development environment.
  • Strong critical thinking and problem-solving skills, with the ability to break down complex requirements, recognize blockers, and apply innovative solutions.
  • Enthusiastic about emerging technologies with proven ability to integrate innovative solutions into existing systems.
  • Demonstrated ability to work independently on technical tasks of growing complexity.
  • Ability to understand and communicate customers' business requirements.

Technical Background:

  • Direct experience working in an Agile Development Methodology environment.
  • Strong background in object-oriented programming.
  • Experience in biohealth, laboratory systems, or scientific software development is a plus.
  • Valued but not required: Familiarity with regulatory requirements (HIPAA, FDA, GxP) or laboratory workflows.

Specific Technical Qualifications

Core Technologies (in no particular order):

  • Microsoft .NET Framework
  • JavaScript/TypeScript & modern JavaScript Frameworks (React, or similar)
  • Postgres, Microsoft SQL Server, and other relational databases
  • Python and Python frameworks such as FastAPI/Flask
  • Cloud Platforms - Microsoft Azure/Amazon Web Services
  • Web Service/API development
  • Containerization tools (Docker, Kubernetes)

Bonus Skills:

  • Data modeling and schema design
  • Data analysis, statistical analysis or data visualization tools
  • Machine Learning frameworks
  • Model Development & Deployment: building, training, and evaluating models


Company Benefits & Perks

  • 20+ days of PTO accruable in the first year!
  • Comprehensive health insurance (Medical, Dental, Vision) with HMO and PPO options
  • Health Savings Account (HSA) with annual employer contributions
  • 401(k) with guaranteed company match (Traditional and Roth options)
  • 100% company-paid short-term and long-term disability
  • 100% company-paid life insurance with option to increase coverage
  • 100% company-paid identity theft protection
  • On-site gym with basketball court
  • Hybrid/remote schedule with home office stipend
  • Fresh fruit, healthy snacks, and beverages provided daily
  • Bonus certification program (Microsoft, AWS, PMP, IIBA, etc.)
  • Employee Assistance Program (counseling, legal, financial services)
  • Monthly and Quarterly Recognition Awards with spot bonuses
  • Company-supported community outreach and volunteer opportunities
  • Employee-run committee involvement opportunities
  • Collaborative culture founded on realized values and incredible people


If you need an accommodation as part of the employment process, please contact Human Resources via email athradmin@yaharasoftware.com


Yahara Software LLC is an Equal Employment Opportunity/Affirmative Action Employer.

This is a full-time, salaried position with competitive salary and benefits. Candidates must be eligible to work in the U.S. on a permanent basis and can work on-site in our office located in Madison, Wisconsin.