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Fall Machine Learning Co Op Jobs in Evanston, IL

Stepan

Operations Learning and Development Manager

Northbrook, IL · On-site

$103K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Co-Op/Intern and Early Career Engineering Program • Modernizes Stepan's Operations Training and introduces efficiencies by leveraging existing and emerging technologies • Analyzes learning ...

Stepan

Operations Learning and Development Manager

Northbrook, IL · Hybrid

$103K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Co-Op/Intern and Early Career Engineering Program Modernizes Stepan's Operations Training and introduces efficiencies by leveraging existing and emerging technologies Analyzes learning success ...

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 ...

Vizient

Lead Data Scientist

Chicago, IL

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and ... Geographic factors may adjust the range estimate and hires typically fall below the top range.

CDW

VMware Services Product Manager

Chicago, IL · On-site

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 ...

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

Fall Machine Learning Co Op information

See Evanston, IL salary details

$24.5K

$40.9K

$84.5K

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

As of Aug 18, 2026, the average yearly pay for fall machine learning co op in Evanston, IL is $40,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 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 are popular job titles related to Fall Machine Learning Co Op jobs in Evanston, IL?

For Fall Machine Learning Co Op jobs in Evanston, IL, the most frequently searched job titles are:

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

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

Fall Machine Learning Co Op jobs near you

Territory Sales Manager, dealer co-op

ICP Group

Chicago, IL • On-site

Full-time

Posted 3 days ago

New

Job description

Innovative Chemical Products Group (ICP Group) is a leading formulator and manufacturer of specialty coatings, adhesives, and sealants serving the construction and industrial end markets. ICP Group is comprised of leading brands known for innovation, quality, and performance. Founded in 2015 and supported by a lean corporate team, ICP Group has scaled rapidly through organic and acquisition growth into one of the largest coatings, adhesives, and sealants companies in North America. ICP Group is headquartered in Andover, MA and has manufacturing and distribution sites throughout North America, Latin America, UK, Europe and the Asia Pacific region.
ICP Group is looking to identify a Territory Sales Manager to join our team to serve as a Territory sales representative in a high potential market. This person will be a self-motivated individual with sales experience and a proven track record.
You will have sales responsibility for our Roof, Driveway and Diversified Coatings through Independent retailers representing leading brands in the market.  Working with our Distributor partners, you will be charged with increasing sales and adding new locations within the defined territory.
You will prospect and develop commercial sales and primarily call on “decision makers” that can influence product selection and or the purchase of a product assortment sold in their store locations. The management of accounts will include A/R support activity, arranging technical support, account planning, project proformas or application of products working with the technical services department. You will be required to report weekly through our Sales Force CRM on-line system.
Responsibilities:
  • Serve as the main point of contact for direct buying customers and key influencers in the Midwest market (IN, OH, KY, MI, IL. WI, MN, IA, MO, KS, NE, SD, ND)
  • Create and work from a written business development plan for the industry and markets you service
  • Travel the extent of territory on an as needed basis, overnight travel up to 50% of the time
  • Training of customers by performing live product demonstrations, remote learning, and education presentations
  • Review of sales reports to identify market sales opportunities
  • Ability to cultivate new business using prospect lists
  • Interact with multi-level business leaders and cross-functional support groups to accomplish goals and objectives
  • Work customer events, demo days, Trade Shows
  • Customer follow-up and sales reviews will be performed regularly

Experience needed
  • Proven sales track record with new business generation
  • Exceptional verbal, presentation, and training skills
  • Ability to work independently with new and existing clients to overcome typical sales objections (i.e. – price, application knowledge and etc.)
  • Cold-calling success within a territory on Independent Dealers, Regional Chains and buying group members
  • Experience within Architectural/Technical coatings and building materials preferred
  • Read/Write experience in all aspects of a project specification process preferred

ICP Group is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.
 

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