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Machine Learning Engineer Intern Jobs in South Bend, IN

... machine learning, and automation technologies. · Support security monitoring of AI platforms ... Detection engineering, alert tuning, incident triage, and threat-informed defense. And a Working ...

CyberSecurity Engineer

Elkhart, IN · On-site

$110 - $140/hr

... machine learning, and automation technologies. · Support security monitoring of AI platforms ... Detection engineering, alert tuning, incident triage, and threat-informed defense. And a Working ...

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning systems with a high degree of autonomy. This role partners closely with architects and product ...

Supply Chain Director

Elkhart, IN · On-site +1

$174K - $197K/yr

Evaluate and deploy ROI-driven technology-RPA, machine learning, real-time dashboards-and translate ... Engineering, or related field; MBA a plus. (Equivalent experience considered.) • Proven ...

Manufacturing Engineer

Elkhart, IN · On-site

$75K - $85K/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.Ability ...

Intern

Niles, MI · On-site

$13.75 - $18.25/hr

Eligible Majors Civil, Environmental, Geotechnical, Geological, or Construction Engineering ... Terracon's internship program gives students the opportunity to turn classroom learning into ...

Showing results 21-40

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:
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.

Research Scientist | College of Engineering

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 16 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

Company Description

The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

The University of Notre Dame is committed to advancing research and innovation that addresses some of the world's most complex challenges. Through interdisciplinary collaboration, transformative scholarship, and a commitment to serving the common good, Notre Dame researchers work to develop solutions that have a meaningful impact on society and the world.

The Energy Systems Engineering research group is seeking a highly motivated and collaborative Research Scientist to support innovative research focused on advancing sustainable and efficient energy systems. This position will conduct interdisciplinary research in energy systems engineering modeling, leveraging advanced analytical approaches to better understand, optimize, and improve emerging energy technologies and systems.

The Research Scientist will contribute to a dynamic research environment through expertise in areas including life cycle assessment, technoeconomic analysis, optimization, statistical analysis, machine learning, and generative artificial intelligence techniques. This role will play an important part in advancing research initiatives, supporting scholarly publication and proposal development, mentoring junior researchers, and helping establish new research directions within the energy systems research group.

In addition to conducting independent and collaborative research, this position will provide operational leadership within the research group by supporting project management, coordinating research activities, maintaining laboratory resources, and ensuring effective research practices. The successful candidate will bring strong technical expertise, a commitment to research excellence, and the ability to collaborate across disciplines to advance innovative energy solutions aligned with Notre Dame's mission.

Position Responsibilities

Research

  • Conduct interdisciplinary research related to energy systems engineering modeling, including but not limited to:
    • Life cycle assessment
    • Technoeconomic analysis
    • Optimization
    • Statistical analysis
    • Machine learning techniques
    • Generative AI techniques
  • Support research planning, literature analysis, and development of research methodologies.
  • Conduct computational modeling, simulations, and advanced data analysis to support research objectives. 
  • Prepare manuscripts for publication and contribute to scholarly dissemination of research findings.
  • Assist with proposal planning, development, and writing to support future research initiatives.
  • Help identify and establish new research thrusts related to energy systems.

Researcher Mentoring and Project Management

  • Serve as a resource and mentor to junior researchers by providing guidance on research activities, technical approaches, and best practices.
  • Teach computational methodologies, programming/modeling best practices, and simulation workflows related to ongoing projects. 
  • Participate actively in laboratory activities, including research meetings, group meetings, and collaborative discussions.
  • Support the management and execution of ongoing research projects, including coordination of timelines, deliverables, and research activities.
  • Assist with maintaining a collaborative and productive research environment.

Laboratory Management

  • Support the organization and daily operations of the computational research group.
  • Manage group computing resources, software licenses, code repositories, and high-performance computing (HPC) allocations.
  • Establish and promote best practices for data management, version control, software documentation, and computational reproducibility.
  • Coordinate group IT and computing needs, serving as a liaison with university high-performance computing facilities.
  • Promote efficient, collaborative, and rigorous simulation and modeling practices.

Why Notre Dame

At the University of Notre Dame, research is driven by a commitment to discovery, collaboration, and the pursuit of knowledge for the betterment of humanity. As part of this research community, the Research Scientist will contribute to work that advances energy innovation while supporting the University's mission to create meaningful solutions to global challenges.

Qualifications

Education Qualifications

  • Doctoral degree (Ph.D., J.D., Ed.D.)

Experience

  • 3 to 4 years of experience in a related research environment.

Degree Qualifications

  • Ph.D. in Chemical Engineering, Systems Engineering, Industrial Engineering, or a related field.

Skill Qualifications

Applicants must possess:

  • Experience and knowledge related to energy systems analysis.
  • Strong technical writing and research design skills.
  • Demonstrated ability to conduct interdisciplinary research and analyze complex technical information.
  • Ability to mentor and support junior researchers.
  • Strong project management skills and the ability to manage multiple research activities effectively.
  • Ability to work collaboratively in a research-focused environment.
Additional Information

Application Deadline to Apply: August 14, 2026

Hiring Pay Range: $70,000 - $80,000 | Annually

Required Documents for Full Consideration:

  • Resume
  • Cover Letter outlining your research interests, relevant experience, and professional goals, and describing how this opportunity aligns with your future career aspirations.

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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