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Machine Learning Internship Opt Cpt Jobs in Milwaukee, WI

Manufacturing Engineer

Waukesha, WI · On-site

$71K - $105K/yr

... machine efficiency, cost of non-conformance, inventory, and waste. * Creates and maintains ... This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ...

... machine efficiency, cost of non-conformance, inventory, and waste. * Creates and maintains ... This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ...

Manufacturing Engineer

Waukesha, WI · On-site

$71K - $105K/yr

... machine efficiency, cost of non-conformance, inventory, and waste. * Creates and maintains ... This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ...

This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ... Minimum of 6 months of previous Press Brake machine operation experience. Skills: * Ability to work ...

This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ... Minimum of 6 months of previous Press Brake machine operation experience. #IND123 #LI-SB2 Skills:

Showing results 21-40

Machine Learning Internship Opt Cpt information

See Milwaukee, WI salary details

$25.1K

$42K

$86.7K

How much do machine learning internship opt cpt jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning internship opt cpt in Milwaukee, WI is $41,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.

Manufacturing Engineer

Eaton

Waukesha, WI • On-site

$71K - $105K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago


Eaton rating

7.6

Company rating: 7.6 out of 10

Based on 222 frontline employees who took The Breakroom Quiz

226th of 536 rated manufacturers


Job description

Eaton's ES AMER ESS division is currently seeking a Manufacturing Engineer. This position is based out of our Waukesha, WI location
The expected annual salary range for this role is $71000 - $105000 a year.
Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.
What you'll do:
The Manufacturing Engineer will be responsible for supporting plant leadership in achieving business and financial goals by leading continuous improvement /cost-out initiatives across the organization while developing and maintaining robust manufacturing processes. Additional responsibility includes executing the organization's strategic plan consistent with federal, state, and local regulations, established industry standards, and customer requirements. The candidate needs to be able to think outside the box, encompassing lean and manufacturing engineering principles, day in and day out.
In this function, you will:
  • Creates, trains, and guides the optimal design and layout of cells and manufacturing flow lines considering safety/guarding, productivity, ergonomics, first pass yield, process and test capabilities, machine uptime and machine efficiency, cost of non-conformance, inventory, and waste.
  • Creates and maintains standardized work elements (Balance charts, layouts, etc) to ensure all safety requirements are met and processes operate with their defined specifications.
  • Leads the research and development of new processes to meet or exceed the requirements of current/new products.
  • Heavy focus on leading cost-out initiatives and promoting a culture of continuous improvement.
  • Leads teams that leverage Lean and/or Six Sigma tools to solve problems within manufacturing.
  • Drives initiatives to closure and monitors/drives associated metrics.
  • Participates in Continuous Improvement of Kaizens/BPIs as appropriate to the facility.
  • Evaluates a value stream and establish clear visual controls indicating process health and capture sources of variation that drive accountability in Continuous Improvement actions/process improvements.
  • Identifies potential safety hazards and provides input into the remediation process, ensuring equipment functionality meets required specifications.
  • Enforces safety expectations, documents, and communicates hazards and unsafe conditions, and conducts training to team members on safety regulations and methods

You will also:
  • Performs root cause and failure analysis for the resolution of production detractors.
  • Applies critical thinking and problem-solving skills to provide specified cost, quality, and performance in a safe and efficient manner.
  • Collaborates with others in critical thinking and problem-solving activities.
  • Participates in concurrent engineering efforts and critical design reviews to minimize product costs and maximize the useful life of products.
  • Supports new product development projects to ensure design for manufacturability
  • Works on projects in conjunction with the Ops and OPEX manager for fab/weld, core & coils value streams, develop project goals, budgets, and work breakdown structures.
  • Proactively aligns cross-functional resources such as production, quality, EHS, Maintenance, Engineering, and contractors/vendors to ensure that project goals are met.
  • Develops and executes communication plans among project/program working groups, associated leadership teams, and other stakeholders.
  • Responsible for executing sustained change management as it applies to products and processes within manufacturing operations.
  • Utilizes change management techniques such as ADKAR to effectively drive and sustain process improvements.
  • Provides input into the capital equipment selection process.
  • Develops and evaluates Capital Appropriation Requests (CARs) for new product or process programs and initiatives.
  • Leverages advanced technology and innovation to improve the use and effectiveness of information systems.
  • Seeks opportunities to eliminate waste associated with the flow of factory floor information.
  • Active role in assessment processes within the manufacturing environment.
  • May act as a category lead or champion during an assessment process

Qualifications:
  • Bachelor's Degree in Engineering from an accredited institution.
  • Six (6) months of manufacturing experience, including internships/co-ops.
  • Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc
  • No relocation benefit is being offered for this position. Only candidates that currently reside within the immediate geographical area of 50 miles of Waukesha, WI will be considered. Active Duty Military Service member candidates are exempt from the geographical area limitation.
  • Must be able to work in the United States without corporate sponsorship now and within the future

Preferred Qualifications:
  • One (1) year of manufacturing experience is required.
  • Expertise in Lean Manufacturing: Proficient in value stream mapping, one-piece flow, 5S, standard work, visual controls, daily accountability, and process checks.
  • Advanced Problem-Solving Skills: Skilled in root cause analysis and corrective action methodologies including thought maps, 8D, PFMEA, control charts, and Pareto analysis.
  • Laser Cutting Proficiency: Hands-on experience with flat steel laser cutting and fiber laser technologies.
  • Software & Technical Tools: Proficient in SAP, CAD/CAM systems, MS Office Suite, MiniTab, Metamation, and nesting software.
  • Quality Systems Knowledge: Familiar with industry and customer-specific quality standards such as ISO 9001.
  • Production Environment Acumen: Deep understanding of both low volume/high mix and high volume/low mix manufacturing settings, including safety and guarding requirements.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.
We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
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About Eaton

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US