ZipRecruiter

Log In

1

Fall Machine Learning Co Op Jobs in Palatine, IL

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

Ryan Companies

Project Engineer Intern

Chicago, IL · On-site

$25/hr

... Fall Co-op running from May-December. As a Project Engineer Intern, you will assist the project team in the completion of designated projects while focusing on learning construction industry ...

Ryan Companies

Project Engineer Intern

Chicago, IL

$25/hr

... Fall Co-op running from May-December. As a Project Engineer Intern, you will assist the project team in the completion of designated projects while focusing on learning construction industry ...

Vizient

AI & Decision Intelligence Director

Chicago, IL

$135K - $236K/yr

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

CDW

VMware Services Product Manager

Chicago, IL

Maximize sales revenue, profit, and vendor co-op for specific product categories through strategic ... We value adopting AI as a partner, openness to experimentation, and a shared interest in learning ...

previous pagenext page

Showing results 21-40

All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Palatine, IL

Fall Machine Learning Co Op information

See Palatine, IL salary details

$25.6K

$42.8K

$88.4K

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

As of Aug 17, 2026, the average yearly pay for fall machine learning co op in Palatine, IL is $42,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,200.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

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.

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.

What job categories do people searching Fall Machine Learning Co Op jobs in Palatine, IL look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Palatine, IL are:

What cities near Palatine, IL are hiring for Fall Machine Learning Co Op jobs?

Cities near Palatine, IL with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Palatine, IL as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,800 per year, or $20.6 per hour.

Engineering Intern / Co-op

OceanComm, Inc.

Chicago, IL • On-site

$35 - $55/hr

Full-time, Internship

PTO

Re-posted yesterday

Job description

Join OceanComm’s engineering team and help build undersea drones, intelligent sensors, and other cutting-edge undersea technology. This is a hands-on role for students in electrical and computer engineering, mechanical engineering, or related technical programs who want real experience at the intersection of acoustics, signal processing, machine learning, embedded systems, and robotics. You can pick a primary area while still having room to cross over. We’ll match projects to your skills and curiosity. You’ll work closely with experienced engineers, receive training, and contribute to products used in defense, offshore energy, and oceanographic research. Many of our past interns have gone on to join OceanComm full-time. Strong performers will be considered for a full-time role after graduation.

About Us

Underwater, the wireless transfer of a single picture used to take an hour. We brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems were basically status/command links; our modems can control undersea drones with live video feedback, a game changer for exploring the underwater world. Because radio waves attenuate quickly underwater, our modems use sound waves to communicate. Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to keep their undersea drones connected.

Requirements

  • Actively enrolled in an academic program, not a recent graduate
  • Full-time, on-site commitment for a minimum of 12 weeks
  • Majoring in EE / CompE / MechE (or related)
  • Strong fundamentals (data structures / algorithms or circuits / digital / embedded or controls / mechanical design)
  • Proficiency in at least one of: C, C++, or Python; comfort with Git and writing unit tests
  • Strong communication and teamwork skills
  • Due to export-controlled work, candidates must be U.S. persons (U.S. citizen, U.S. permanent resident, or protected individual under 8 U.S.C. § 1324b)
What Will Put You Ahead
  • Substantial projects (repo or short write-up)
  • Understanding of machine learning / signal processing fundamentals
  • Comfort with linear algebra
  • Experience with web development (especially TypeScript / Vue)
  • Experience with ROV / AUV hardware / software / control (e.g. ROS2)
  • Experience with CAD / 3D printing
  • Familiarity with lab equipment (e.g. oscilloscopes, probes, debuggers)
  • Familiarity with device interfaces (e.g. Ethernet, CAN, I²C, SPI)
  • Familiarity with embedded development (e.g. bootloaders, device trees, drivers, RTOS)
  • Familiarity with Operating Systems concepts (e.g. schedulers, mutexes, virtual memory)
  • Experience with FPGA / RTL (e.g. SystemVerilog, UVM, cocotb)

Benefits

  • Close mentorship and training
  • End-to-end ownership of a scoped, impactful project
  • End-of-internship demo day
  • Paid vacation
Compensation

The pay range for this position is $35 – $55 per hour. Actual pay will depend on the candidate’s experience and skills demonstrated during interviews and other evaluations.

OceanComm is an Equal Opportunity Employer, including disability/vet.