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Fall Machine Learning Co Op Jobs in Indiana (NOW HIRING)

Landis+Gyr

Co-op - Firmware Engineering

Lafayette, IN · On-site

The Landis+Gyr Co-op program is designed to enhance the quality and scope of learning by providing students with the option of integrating academic study with related, work-based learning. Applicants ...

Toyota

TMMI 2025 Engineering Co-op

Princeton, IN · On-site

Co-op projects can range from vehicle design, targeting cost or defect reductions, improving machine efficiency, collecting and analyzing production data, re-designing parts/components for improved ...

Messer Construction Co.

Laborer Co-Op

Indianapolis, IN · On-site

$15.75 - $19.25/hr

Description Messer Construction Co. is an award-winning construction manager and general contractor ... Strong commitment to safety, teamwork and learning. * Reliable transportation to and from the job ...

Messer Construction Co.

Laborer Co-Op

Indianapolis, IN

$15.75 - $19.25/hr

Description Messer Construction Co. is an award-winning construction manager and general contractor ... Strong commitment to safety, teamwork and learning. * Reliable transportation to and from the job ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Indiana

Fall Machine Learning Co Op information

See Indiana salary details

$24.3K

$40.5K

$83.7K

How much do fall machine learning co op jobs pay per year?

As of Jun 30, 2026, the average yearly pay for fall machine learning co op in Indiana is $40,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
What are popular job titles related to Fall Machine Learning Co Op jobs in Indiana? For Fall Machine Learning Co Op jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Indiana look for? The top searched job categories for Fall Machine Learning Co Op jobs in Indiana are:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Indiana as of June 2026, with employment types broken down into 20% Full Time, and 80% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,521 per year, or $19.5 per hour.
Co-op - Firmware Engineering

Co-op - Firmware Engineering

Landis+Gyr

Lafayette, IN • On-site

Other

Posted 2 days ago

Key responsibilities

  • Engage with the firmware team in development activity on the Revelo Dual Comms project.

  • Participate in hands-on development of embedded firmware and work with CICD systems on build and test pipelines.

  • Complete a user story for Revelo Dual Comms, including code development, unit test development, code review, and documentation.

Job description

At Landis+Gyr, we don't just manage energy-we lead the transformation toward a smarter and more sustainable energy future.

With a net revenue of USD 1.73 billion in FY 2024, and a presence in over 30 countries across five continents, Landis+Gyr empowers utilities and consumers to optimize energy usage through advanced metering, grid-edge intelligence, and powerful data analytics.

Today, our global team of about 6,300 professionals is shaping the digital energy era-developing innovative technologies that support decarbonization, grid modernization, and real-time energy insights. Our record USD 4.6 billion order backlog and strong book-to-bill ratio reflect long-term confidence in our mission and solutions.

Join us at Landis+Gyr, where we manage energy better! 

Welcome to Landis+Gyr!  We're at the forefront of the energy industry revolution - let's build a brighter energy future together!
The Landis+Gyr Co-op program is designed to enhance the quality and scope of learning by providing students with the option of integrating academic study with related, work-based learning.  Applicants must be enrolled in the undergraduate program and available for an alternating rotating semester schedule. Masters level students will not be considered. This first rotation begins August 2026 for the 3-semester rotation and the student will be working full-time hours Monday through Friday on-site at our Lafayette, Indiana location.  Expected graduation date should be 2028 or later to allow enough time for 3 working semesters alternating with 3 school semesters.  This is a paid position but we don't offer housing assistance so candidates local to the Lafayette, IN area are preferred. 

Project Overview

Engage with the firmware team in development activity on the Revelo Dual Comms project.  This will include hands-on development of embedded firmware, working with CICD systems working on build and test pipelines.

Student Objectives/Responsibilities

   Introduce CICD using our Gitlab environment, specifically commit, code review, smoke test, unit test and regression test.
   Complete a code review for one of the team's members commits
   Complete a user story for Revelo Dual Comms.  This will involve comprehension of requirements, code development, unit test development, code commit, responding to code review findings, responding to static analysis, build and regression test failures, and documentation.

Education/Experience

Co-op applicants must be undergraduate students working towards their Bachelors degree in Computer, Electrical or Software Engineering.  Masters level students and students with expected graduation dates before 2028 will not be considered.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We value and encourage diversity in our team. This position is open to all qualified candidates regardless of gender, race, age, disability, sexual orientation, or background. We're committed to shaping a better future for everyone. #EnergizeYourCareer and join us on our journey towards a greener tomorrow.

Apply