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No Experience Machine Learning Jobs in Menasha, WI

Working alongside experienced professionals, you'll help drive continuous improvement initiatives, support testing activities, and contribute to projects that enhance the efficiency and success of ...

Machine Operator Pay is $31 an hour (Only need 1+ years of manufacturing experience) This role ... The environment supports continuous learning, cross-training, and long-term career development in ...

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Machine Operator

Greenville, WI · On-site

$17 - $20/hr

Experience using a caliper or other related measuring equipment * Basic reading and writing * Must ... No Charge - Professional and Personalized Staffing/Employment Services

Machine Operator (2nd & Weekends)

Manitowoc, WI · On-site

$16.50 - $19.50/hr

Description To those who enjoy working with their hands, and are comfortable with learning ... Pay for this position is based on experience PLUS you will receive a $2 hourly shift differential.

Machine Operator I

Oshkosh, WI · On-site

$16.75 - $19.75/hr

Continuous learning of the principles, practices, and processes of their job as changes require and ... of experience operating relevant machinery or equivalent Detail oriented and organized. Work in a ...

Machine Operator I

Oshkosh, WI · On-site

$16.75 - $19.75/hr

Continuous learning of the principles, practices, and processes of their job as changes require and ... of experience operating relevant machinery or equivalent Detail oriented and organized. Work in a ...

Showing results 21-40

No Experience Machine Learning information

See Menasha, WI salary details

$14

$23

$31

How much do no experience machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for no experience machine learning in Menasha, WI is $23.35, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $26.06 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

What cities near Menasha, WI are hiring for No Experience Machine Learning jobs?

Cities near Menasha, WI with the most No Experience Machine Learning job openings:

Infographic showing various No Experience Machine Learning job openings in Menasha, WI as of August 2026, with employment types broken down into 80% Full Time, 15% Contract, and 5% Nights. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $48,566 per year, or $23.3 per hour.

1st Shift Machine Operator No Weekends

RTP Company

Two Rivers, WI • On-site

$20/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description
Crescent Textile Solutions is a manufacturer of woolen-spun yarns located on the western shore of Lake Michigan in beautiful Two Rivers, WI. Crescent has provided the best natural and synthetic yarns to the textile industry for almost 100 years. Crescent Textile Solutions converts fibers into yarns sold to manufacturers of knitted and woven products. The textile operations performed by Crescent Textile Solutions include blending, carding, spinning, winding, doubling, and twisting. In addition, Crescent's wholly owned subsidiary, Owen Glove Lining, manufactures knitted fleece linings for the safety, apparel and sporting goods industries. Fibers converted into yarns by Crescent Textile Solutions include wool, alpaca, angora, nylon, acrylic, polyester, Nomex, Kevlar and Kanecaron modacrylic. Our technical staff regularly participate in the research and development efforts of our customers to understand their needs and provide guidance in making material recommendations. Crescent Textile Solutions is the recognized industry leader in innovative new blends.
Crescent Textile Solutions is a business unit of Miller Waste Mills, Inc., dba RTP Company. RTP Company is a global compounder of custom engineered thermoplastics headquartered in Winona, Minnesota.
The Machine Operator is responsible for operating and monitoring spinning frames to ensure consistent output.
Work Schedule: Monday - Thursday, 3:00 AM - 1:00 PM
Responsibilities
  • Piece up broken ends and splice yarn together while running an assigned number (presently two) of Spinning Frames or up to four frames with a partner
  • Creel in full spools and remove empty spools from Spinning Frame
  • Tie in roving as required
  • Doff frame when bobbins are full
  • Patrol and observe machines to achieve maximum efficiency and quality
  • Perform run outs for changeovers and assist in changeovers and change travelers as required
  • Clean frames and surrounding areas as required
  • Keep accurate records for daily production time sheet and fill out stock tickets for each doff
  • Notify shift supervisor of any quality problems immediately
  • Perform other related duties as assigned or directed

Requirements
Skills and Abilities
  • Must be dependable with excellent attendance
  • Must be self-directed with a strong work ethic
  • Must work well with others and has a positive attitude
  • Must be safety conscious
  • Must be mechanically inclined
  • Previous experience with circular knitting machines a plus
  • Strong attention to detail
  • Good basic math skills
  • Must be punctual and reliable
  • Must be able to read, write, and speak English

Education and Experience
  • HS degree or GED preferred
  • Past manufacturing experience preferred

Physical Requirements and Working Conditions
  • Frequent bending/stooping, squatting, reaching above shoulder level, crouching and lifting (up to 60 lbs)
  • Continual walking in a relatively confined area is required
  • Frequent standing at floor level and above floor level on equipment
  • Coordination of skills performed at heights no greater than three feet
  • Exposure to extremes (90° F) in temperature
  • Good vision is required, 20/20 or corrected to 20/20
  • Frequent and continuous use of hands and arms
  • Employees with sensitivities to dust may be exposed to airborne dust, silk and synthetic fibers and are encouraged to wear a mask to help filter out airborne fiber.