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Fall Machine Learning Co Op Jobs in Texas (NOW HIRING)

Trane Technologies plc

Engineering Co-Op

Tyler, TX · On-site

$22.50 - $31/hr

We have various co-op positions available; examples of potential work assignments are: * Product ... Implementing manufacturing process improvement: metal forming/fabrication, CNC machining operations ...

New

ONEOK

Engineering Co-op

Dallas, TX · On-site

$16.50 - $21.50/hr

Gain practical engineering and project management experience through diverse learning rotations led ... Durations are negotiable, and rotations will take place during the fall, spring, and summer months ...

Medivators Inc.

Engineering Co-op - Fall 2026

Conroe, TX · On-site

$20 - $23/hr

Fall 2026 (August-December) * Location: Conroe, TX * Work Environment: Onsite * Hours: Full-time for the duration of your co-op What You'll Do as an Engineering Co-op * Develop fixture designs to ...

flowcontrol

Service Technician Co-Op

Tomball, TX

Support warehouse and parts handling when required Learning Objectives By the end of the co-op, participants will gain exposure to: * Fundamentals of compressed air systems and applications

flowcontrol

Service Technician Co-Op

Tomball, TX · On-site

Support warehouse and parts handling when required Learning Objectives By the end of the co-op, participants will gain exposure to: * Fundamentals of compressed air systems and applications

flowcontrol

Service Technician Co-Op

Tomball, TX · On-site

Support warehouse and parts handling when required Learning Objectives By the end of the co-op, participants will gain exposure to: * Fundamentals of compressed air systems and applications

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Fall Machine Learning Co Op information

See Texas salary details

$23.8K

$39.7K

$82K

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

As of Aug 12, 2026, the average yearly pay for fall machine learning co op in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 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 Texas? For Fall Machine Learning Co Op jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Texas look for? The top searched job categories for Fall Machine Learning Co Op jobs in Texas are:
What cities in Texas are hiring for Fall Machine Learning Co Op jobs? Cities in Texas 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 Texas as of June 2026, with employment types broken down into 32% Full Time, and 68% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.

AI Engineering Fall Co-Op

Lennox International

Richardson, TX

Full-time

Posted 20 days ago

Lennox International rating

7.1

Company rating: 7.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

340th of 487 rated machine equipment manufacturers

Job description

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development. Come, stay, and grow with us.


As a Data & AI Co-Op, you will work closely with the Data & AI team and cross-functional partners to support data modeling, AI application development, reporting, and foundational machine learning efforts. This is an excellent opportunity to gain real-world experience with emerging AI technologies, cloud platforms, and data-driven applications in a collaborative, fast-paced environment. You can expect to participate in impactful, developmental projects designed for your specific area of focus. This role will provide you with real work experiences to grow your career and provide exposure to business leaders throughout the company.

Relocation and/or travel may be required for your position.

Why You’ll #LoveLennox:

  • Impactful Projects: Work on meaningful assignments that drive real business results. Your ideas matter here.
  • Intern Community: Connect with peers through social events, team-building activities, and engagement programs.
  • Innovation Exposure: Dive into cutting-edge tech and trends shaping the HVAC and manufacturing industries.
  • Learning and Development: Access workshops, training sessions, and resources to level up your skills and expand your knowledge.
  • Competitive Pay and Relocation Support: Receive a competitive compensation package and relocation support if needed.

WHAT YOU’LL BE DOING:

Data & AI Solution Support
  • Assist in the implementation of data and AI solutions under supervision.
  • Support basic data modeling, AI engineering tasks, and foundational data science practices.
  • Create SQL queries to support reporting, dashboards, and exploratory data analysis.
  • Document processes and assist in maintaining AI pipelines and systems.
Machine Learning & AI Engineering Exposure
  • Participate in team collaboration to gain exposure to machine learning model training and deployment.
  • Learn and apply foundational AI engineering and machine learning practices.
  • Participate in training sessions to learn about AI engineering and machine learning tools used by the team.
  • Support the development of scalable data and AI workflows that integrate multiple systems and services.
Generative AI & Automation
  • Contribute to the development of AI-powered applications using large language models, APIs, and prompt engineering techniques.
  • Learn to utilize LLM models to automate basic tasks and support the development of agentic solutions under supervision.
  • Gain exposure to LLM API integration, evaluation, and deployment practices.
  • Assist with the design and build of generative AI solutions that automate or enhance business processes.
Cloud-Based Data Solutions
  • Support the implementation of cloud-based data solutions by assisting with basic configuration and monitoring tasks.
  • Help the team ensure reliability and scalability across foundational cloud and AI projects.
  • Gain hands-on experience with cloud-based AI solutions, monitoring, and automation capabilities.
Application Integration & Team Support
  • Contribute to the integration of AI functionalities within software applications.
  • Support the team in implementing data and AI-driven applications using web frameworks.
  • Collaborate with team members on projects involving automation platforms, AI workflows, APIs, and software development best practices.
POTENTIAL PROJECT(S):Generative AI Application Development

Design and build an AI-powered application using LLMs to automate or enhance a business process. Gain hands-on experience with prompt engineering, APIs, evaluation, and deployment.

AI Engineering & Automation Platform

Develop scalable data and AI workflows that integrate multiple systems and services. Implement cloud-based AI solutions, monitoring, and automation capabilities following engineering best practices.

WHAT WE ARE LOOKING FOR:
  • Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related STEM field
  • Proficiency in Python and SQL
  • Understanding of machine learning and Generative AI concepts
  • Familiarity with APIs and cloud platforms
  • Strong analytical and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to work independently and as part of a team
  • Passion for learning emerging AI technologies
NICE TO HAVE:
  • Experience with cloud platforms, AI/ML frameworks, LLMs, APIs, data engineering tools, or software development practices
  • Demonstrated curiosity for emerging AI technologies
  • Graduate-level coursework or graduate student status
WHAT YOU’LL GAIN:
  • Hands-on experience supporting real data and AI projects
  • Exposure to machine learning, Generative AI, automation, and cloud-based solution development
  • Opportunities to collaborate with cross-functional teams on AI-driven business applications
  • Development of professional skills in data analysis, AI engineering, technical documentation, and problem-solving
  • Practical experience applying emerging technologies to solve business challenges

Requires a high school diploma or an equivalent combination of education and experience. Entry Level.
Developing professional knowledge in the area of expertise. Solid written and verbal communication skills. Proficient in Microsoft Office.


Compensation: This is an hourly non-exempt role. The starting pay range for this role and market is between $22.50 – $25/hour. This rate is based on the intern's current year in their respective university programs. Graduate students may receive a higher rate of pay based on their year in school. Employees in this role are also eligible to earn overtime when they work more than 40 hours in a week (or as otherwise required by state law).

Our Culture: At Lennox, our Core Values of Integrity, Respect & Excellence are ingrained in the fabric of the organization.  They define our culture – which is about how we do business and how we treat others. Lennox is not just a workplace; we are a global community that values each team member’s contributions. As an equal opportunity employer, we are committed to recruit, develop, and retain talented individuals from a wide range of backgrounds, ensuring that everyone has the opportunity to succeed and contribute to our continued growth and success. At Lennox, you’ll take pride in our brands, knowing you are part of something special. Come, stay, and grow with us!

Disclaimers: The compensation and benefits information is accurate as of the date of this posting. Lennox reserves the right to modify this information at any time, with or without notice, subject to applicable law. 

We may use automated tools, including artificial intelligence, to support parts of our hiring process, such as application review and interview scheduling. These tools assist our teams but do not replace human decision-making. If you need an accommodation or have questions, please contact CandidateAccommodations@Lennox.com.

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