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Machine Learning Engineer Intern Jobs in South Bend, IN

TouchTronics, Inc

Manufacturing Engineer

Elkhart, IN

$69K - $89K/yr

... learning customarily acquired through specialized education. As the Manufacturing Engineer, you ... Ability to use hands and fingers to operate hand tools/equipment and machinery occasionally.

Tenneco

Assembly Process Tech

South Bend, IN · On-site

$30.87/hr

Assists engineering in maintaining of processes and machines, including trial runs and PPAPs ... Respect fellow Team Members. * Continue learning. * Be on time. * Abide by our values.

Tenneco

Assembly Process Tech

South Bend, IN · On-site

$30.87/hr

Assists engineering in maintaining of processes and machines, including trial runs and PPAPs ... Respect fellow Team Members. * Continue learning. * Be on time. * Abide by our values.

Fox Factory

Design Engineering Specialist 1

Elkhart, IN · On-site

Operate and maintain 3D printers, laser cutters, CNC machines, and additional development assets ... Displays an ongoing commitment to learning and self-improvement; making an effort to acquire new ...

Griffin Tool Inc.

CNC Programmer

Stevensville, MI · On-site

$55K - $70K/yr

Operate CNC machines * Use hand tools; grinders; saws; routers; sanders * Successful history of ... learning, and looking for growth within the company. We offer a full benefits package to all ...

Welch Packaging

Maintenance Manager

Elkhart, IN · On-site

Schedule required Preventive Maintenance on all machinery. * Respond to emergency work orders ... Considers safety in all engineering/maintenance decisions and networks with supervision, management ...

Welch Packaging Group

Maintenance Manager

Elkhart, IN · On-site

Schedule required Preventive Maintenance on all machinery. * Respond to emergency work orders ... Considers safety in all engineering/maintenance decisions and networks with supervision, management ...

Lippert

Leader in Training

Elkhart, IN · On-site

Repetitive use of hands to operate machinery. * 1st shift, 2nd shift, and off-shift opportunities ... Engineering, or related field of study Essential Functions: * Master learning modules that build a ...

Lippert

Leader in Training

Elkhart, IN · On-site

Repetitive use of hands to operate machinery. * 1st shift, 2nd shift, and off-shift opportunities ... Engineering, or related field of study Essential Functions: * Master learning modules that build a ...

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Showing results 41-60

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in South Bend, IN

Machine Learning Engineer Intern information

See South Bend, IN salary details

$25K

$41.7K

$86.2K

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

As of Aug 12, 2026, the average yearly pay for machine learning engineer intern in South Bend, IN is $41,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,100.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Machine Learning Engineer Intern jobs in South Bend, IN? For Machine Learning Engineer Intern jobs in South Bend, IN, the most frequently searched job titles are:
What cities near South Bend, IN are hiring for Machine Learning Engineer Intern jobs? Cities near South Bend, IN with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in South Bend, IN as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 21% Part Time, 3% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,735 per year, or $20.1 per hour.

Postdoctoral Research Fellow, Midwest Regional Energy Symbiosis

University of Notre Dame

Notre Dame, IN • On-site

$48K - $65K/yr

Full-time

Posted 20 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

337th of 618 rated colleges and universities

Job description

Description
The University of Notre Dame invites applications for a Postdoctoral Research Fellow to join a collaborative, interdisciplinary team of researchers from Notre Dame, Indiana University, Purdue University, and the University of Wisconsin to develop and pilot an AI-enabled material flow and industrial symbiosis framework that connects energy, water, and resource loops. This innovative research engages the Midwest's strong presence in manufacturing, agricultural landscapes, construction activity, and freshwater resources as a living regional laboratory to develop transferable methods for mapping, modeling, and evaluating industrial symbiosis opportunities across interconnected energy, water, material, agricultural, industrial, and construction systems. The postdoctoral fellow will serve as the central analytical and coordination lead for the project, working under the technical guidance of the PI and co-investigators.
The postdoctoral fellow will contribute to key project outcomes, including, but not limited to:
  • Developing an innovative industrial symbiosis framework that outlines short-term feasible and long-term transformative cross-sector exchanges.
  • Creating a transparent AI-enabled and replicable methodology that can be adapted to other Midwestern and U.S. regions to support energy-water-resource engineering and circular economy research.
  • Coordinating meetings and work with faculty teams and other research assistants.
  • Lead the co-authorship of interdisciplinary, peer-reviewed publications in high impact journals and develop the foundation for future grant proposals.

The postdoctoral fellow will assume the following key responsibilities:
  • Compiling, managing, and integrating geospatial and infrastructure datasets related to industrial facilities, manufacturing processes, water and wastewater systems, solid waste streams, agricultural production, energy systems, construction-related material demand, and secondary resource flows.
  • Developing regional material flow inventories that identify major sources, sinks, transformation points, and potential exchange pathways.
  • Conducting industrial symbiosis screening to identify feasible cross-sector resource exchanges.
  • Supporting the development of transparent AI-enabled assessment methods.
  • Conducting simplified material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways.
  • Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations to support team coordination and communication with public and private sector partners.
  • Producing first drafts of scholarly manuscripts and contributing technical content, preliminary results, figures, and supporting analyses for follow-on grant proposals.

This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative, a University-wide effort to build a sustainable future where people and nature flourish together. The Initiative supports an interdisciplinary cohort of postdoctoral scholars dedicated to advancing sustainability research grounded in the principles of integral ecology and integral human development.
This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
  • Ph.D. (in hand by the starting date) in industrial ecology, environmental engineering, civil and environmental engineering, systems engineering, sustainable manufacturing, urban systems, architecture/engineering, environmental science, geography, data science, or a closely related field.
  • Demonstrated research experience in one or more of the following areas: material flow analysis, life-cycle assessment, techno-economic analysis, industrial symbiosis, circular economy, resource recovery, waste management, water-energy-food systems, sustainable manufacturing, or low-carbon construction/material systems.
  • Strong quantitative and data-integration skills, including experience working with geospatial data, infrastructure datasets, environmental inventories, or regional-scale resource-flow data.
  • Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is desirable.
  • Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is strongly preferred, especially when applied in transparent, interpretable, or policy-relevant contexts.
  • Ability to synthesize complex multi-sector information into clear analytical outputs, including maps, figures, diagrams, tables, technical memos, and scholarly manuscripts.
  • Strong writing, communication, and coordination skills, with the ability to work across a multi-institutional and interdisciplinary research team.
  • Interest in regional sustainability, circular resource engineering, industrial ecology, and applied research that supports energy-water-resource loop closure.

Application Instructions
Applications will be reviewed on a rolling basis starting on September 1, 2026, and will continue until the position is filled.
Interested applicants should submit the following materials at their earliest convenience:
  1. A two page cover letter that describes in detail their research interests, background and qualifications for the role.
  2. A detailed curriculum vitae.
  3. Three recent publications or dissertation chapters.
  4. Contact information for at least three references.

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