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Machine Learning Co Op Jobs in Texas (NOW HIRING)

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Machine Learning Co Op information

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How much do machine learning co op jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for machine learning co op in Texas is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What cities in Texas are hiring for Machine Learning Co Op jobs? Cities in Texas with the most Machine Learning Co Op job openings:
Infographic showing various Machine Learning Co Op job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,440 per year, or $20.9 per hour.

Fall 2027 - Supply Chain Specialist Co-Op - Austin, TX

Lutron Electronics Company, Inc.

Austin, TX • On-site

Full-time

Posted 5 days ago


Lutron Electronics rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers


Job description

Overview
Lutron is seeking a Supply Chain Specialist Co-Op to join a collaborative team and work on meaningful projects that help shape and optimize the global supply chain behind our smart lighting and shading products.
At Lutron, your interest in supply chain will grow through hands-on experience, practical skill-building, and collaboration with experienced supply chain specialists in a supportive environment.
We consider co-ops to be very valuable in our search for exceptional future members of our team and pride ourselves in providing outstanding work experience to students from a wide variety of universities and backgrounds.
Supply Chain opportunities are located in our distribution or production facilities in Austin, TX.
Responsibilities
Your co-op at Lutron could offer you the opportunity to work on:
  • Tackling real supply chain challenges from global network design to forecasting and inventory moves that keep products flowing
  • Jumping into fast paced, cross functional projects with engineering, customer service, sales, and global manufacturing teams
  • Driving planning, logistics, and data analysis that help move our smart lighting and shading products from concept to customer
  • Driving active projects in partnership with cross functional teams
  • Learning and applying newly adopted tools and technologies to enhance system performance, reliability, and scalability

Qualifications
We seek talented, success-minded people with the desire and ability to make things happen. Our baseline requirements are simple:
  • You are pursuing a Bachelor's or Master's degree in Supply Chain Management, Business or equivalent
  • Your cumulative GPA is at least 3.20
  • You are a rising junior, rising senior, or master's student at the start of the co-op
  • You have broad interests in supply chain, design and development
  • You are authorized to work in the U.S. and will not require Lutron to sponsor you for any work visa, such as an H-1B, either immediately or at any time in the future. Lutron does not offer work visa sponsorship for this position
  • Willingness and ability to work on-site 5 days per week

Lutron is a team-oriented environment, and you will work within these teams to look at broad issues and identify root causes, not just quick fixes. You must have a willingness to ask tough questions, seek out new resources, and work hard to find the best solution.
Here is what you can expect from our co-op program:
  • Competitive pay
  • Housing resources
  • Meaningful project-based work
  • Mentorship
  • Experiential learning
  • Shadowing opportunities
  • Collaborative, cross-functional teams
  • Networking opportunities
  • Social events

Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.
Lutron Electronics is an Equal Opportunity - Affirmative Action - Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics

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