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Machine Learning Jobs in South Bend, IN (NOW HIRING)

Our Food Service Packaging plant facility in Plymouth, IN is seeking a Machine Assistant Operator ... Demonstrate a progressive learning process of the corrugated die cutting process with full ...

3rd Shift Machine Operator

Elkhart, IN · On-site

$16.50 - $19.75/hr

Active learning. PHYSICAL DEMANDS/WORK ENVIRONMENT The physical demands described here are ... Manufacturing facility with machinery and equipment * occasionally exposed to wet and/or humid ...

3rd Shift Machine Operator

Elkhart, IN · On-site

$16.50 - $19.75/hr

Active learning. PHYSICAL DEMANDS/WORK ENVIRONMENT The physical demands described here are ... Manufacturing facility with machinery and equipment * occasionally exposed to wet and/or humid ...

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CNC Machinist

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 ...

Showing results 41-60

Machine Learning information

See South Bend, IN salary details

$25K

$41.7K

$86.2K

How much do machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning 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 is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in South Bend, IN? The most popular types of Machine Learning jobs in South Bend, IN are:
What are popular job titles related to Machine Learning jobs in South Bend, IN? For Machine Learning jobs in South Bend, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in South Bend, IN look for? The top searched job categories for Machine Learning jobs in South Bend, IN are:
What cities near South Bend, IN are hiring for Machine Learning jobs? Cities near South Bend, IN with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in South Bend, IN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% 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 11 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 617 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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