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Machine Learning Engineer Intern Jobs in Fond du Lac, WI

Bachelor's degree in Mechatronics, Automation, Industrial Engineering, Systems Engineering ... Experience or exposure to AI, machine learning, advanced analytics, robotics, and automation ...

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Machine Learning Engineer Intern information

See Fond du Lac, WI salary details

$25.1K

$42K

$86.7K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer intern in Fond du Lac, WI is $41,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Fond du Lac, WI look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Fond du Lac, WI are:

What cities near Fond du Lac, WI are hiring for Machine Learning Engineer Intern jobs?

Cities near Fond du Lac, WI with the most Machine Learning Engineer Intern job openings:

Sr. Manager, Analytics & Insights Logistics

Kimberly-Clark Corporation

Neenah, WI • On-site

Full-time

Retirement

Posted 7 days ago


Kimberly-Clark rating

8.5

Company rating: 8.5 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

32nd of 540 rated manufacturers


Job description

Sr. Manager, Analytics & Insights LogisticsJob Description

You were made to create Better Care for a Better World. As a person, you're a problem-solver - a connector - someone who thrives on creating order from complexity and driving continuous improvement. You see the big picture while mastering the details, ensuring that every product, process, and partnership flows with precision and purpose. You live your life in alignment with the highest values of integrity, efficiency, and collaboration, always working to turn today's challenges into tomorrow's success stories. In this role, you'll help us deliver better care for billions of people around the world.

It starts with YOU.

About You

In one of our analytical logistics roles, you'll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Job responsibilities include:

  • Developing data-driven decision-making insights for the Enterprise Supply Chain (ESC) end-to-end operations and focus on process mining and analytics to ensure supply chain business process and technology capabilities are effective and efficient.
  • Direct the activities of data scientists and supply chain consultants, in carrying out the day-to-day duties of the function, while engaging with the ESC Operating Office leadership, Customer Service, Logistics, Transportation, Global Supply Chain, and DTS.
  • Create and maintain robust data architecture for process mining, develop KPI metrics, automation, and analyses to use for sustained problem-solving.
  • Partner with a DTS product team and Global Supply Chain Process Mining COE and will be responsible for setting a strong product vision and winning strategies, representing the voice of the customer in all decisions, and measuring the value delivered by products. The incumbent will ensure the product's business case benefits are realized.
  • Lead the team to collaborate with key stakeholders to understand data and analytical needs in support of initiatives and functional strategy development.
  • Lead team to develop, sustain and continuously improve network analysis processes, modeling cycle times, and results/recommendation communication.
  • Manage analysis requests, working with team to develop assumptions, analyze data, and communicate results (including trade-off comparison) to customers.
  • Drive implementation of new technology that supports improved agility, speed, and accuracy of network analysis.
  • Oversee and communicate business opportunities proactively.
  • Lead strategic, cross-functional improvement opportunities across Supply Chain.
  • Oversee progress of team against initiatives and roadmaps.
  • Lead and manage team members reporting into role.
  • Lead an assertive, proactive, results-oriented team that is passionate about winning through teamwork.
  • Identifies and hires top-tier talent; maximizes team member effectiveness by providing ongoing coaching and feedback; creates opportunities for growth and development.
  • Lead and coach team in data and analytic techniques.
  • Oversee change management procedures for process improvements and enhancements to the team's processes and tools.
  • Drive the organization to better leverage data and analytics in decision making while respectfully challenging stakeholders, peers and teams through benchmarking and industry insights.
  • Collaborate with a DTS Product Team owning the feature vision/strategy for the platform, defining business outcome, measuring success/KPIs, while communicating product progress and value to stakeholders.

To succeed in this role, you will need the following qualifications:

Required Qualifications

  • Bachelor's degree in Supply Chain, Computer Science, Engineering, Mathematics, Statistics or related technical field.
  • 8+ years of business experience with 5+ years of cross-functional Supply Chain experience.
  • 5+ years of working experience in data science, analytics and/or data modeling.
  • Advanced analytics, data visualization, and reporting dashboard design and development experience.
  • Knowledge of or willingness to learn new analytical and automation tools.
  • Demonstrated leadership in executing innovative solutions through process and technology.

Preferred Qualifications:

  • Working knowledge of Kimberly-Clark's supply chain interactions.
  • Strong technical/analytic skills and experience in multiple platforms (SAP R/3 and Business Warehouse (BW) reporting, SAP S4, Power BI, Power Query, Celonis EMS).
  • Experience with statistical modeling, advanced coding skills (R, Python) and Excel functionality.
  • Proven working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Probability Networks, AI, Machine Learning, Neural Networks, Bayesian models etc.).
  • Advanced experience with relational database structure and data architecture design, SQL, SAP HANA / VDMs, Snowflake.
  • Demonstrated experience in strategic problem-solving, innovative/analytical thinking and influence with ability to simplify complex concepts for ease of understanding.
  • Strong project management knowledge to develop, lead and execute tasks including timeline management, risk assessment, and action item management to ensure delivered results.
  • Outstanding organizational, communication, stakeholder management, relationship-building and collaboration skills at all levels.
  • Experience working with cross-functional Agile teams (including Architects, UX Engineers, Engineering Managers, Business Partners, etc.) responsible for Product Development (Agile certification preferred like CSPO or PSPO).
  • MBA or MS in Engineering, Data Science, Analytics or technology.

Led by Purpose. Driven by You.

Total Benefits

We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.

Here are just a few of the benefits you'd enjoy working in this role for Kimberly-Clark. For a complete overview, see www.mykcbenefits.com

Flex That Works at Kimberly-Clark
We believe great work happens when people come together with purpose. That's why we offer a flexible work model that blends remote work with intentional in-person collaboration - helping you connect, grow, and innovate while maintaining the balance you value.

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print....

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompassesthe experiences of our consumers.When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of local policies.

Employment is subject to verification of pre-screening tests which may include drug screening, background check, and DMV check.

Veterans and members of the Reserve and Guard are highly encouraged to apply.

This role is available for local candidates already authorized to work in the role's country only. Kimberly-Clark will not provide relocation support for this role.

#LI-Onsite

Grade level and / or compensation may vary based on location/country

Salary Range: 127,600 - 157,600 USDAt Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.Primary LocationNeenah - West Office Facility 1Additional LocationsWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

What Kimberly-Clark employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Kimberly-Clark logo

About Kimberly-Clark

Sourced by ZipRecruiter

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands--and so does the rest of the world. In fact, 25% of people in the world use Kimberly-Clark products every day. We know that these amazing Kimberly-Clark products wouldn't exist without skilled workers, like you. Here, you'll use your skills to make some of the most helpful things for billions of people all around the world - all in a safe, stable, and caring environment. While our products support better lives for billions of people around the world, our company passionately supports the ability for over 45,000 employees to do their best work and enjoy life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

Year founded

1872