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Machine Learning Co Op Jobs in Dallas, TX (NOW HIRING)

ONEOK

Engineering Co-op

Dallas, TX · On-site

$16.50 - $21.50/hr

JOB SUMMARY Join our dynamic team as an Engineering Co-op! This role is designed for current ... Gain practical engineering and project management experience through diverse learning rotations led ...

Nokia

Procurement Co-op

Coppell, TX · Hybrid

Procurement Co-op Number of Position (s) : 2 Duration : 12 months Date : September - August 2027 ... A learning environment that fosters both personal growth and professional development - for your ...

Nokia

Procurement Co-op

Coppell, TX · On-site

$20.10 - $70.40/hr

Procurement Co-op Number of Position (s) : 2 Duration : 12 months Date : September - August 2027 ... A learning environment that fosters both personal growth and professional development - for your ...

ONEOK

NGGP Engineering Co-op

Dallas, TX · On-site

$16.50 - $21.50/hr

Gain practical engineering and project management experience through diverse learning rotations led ... co-workers, internal and external customers Ability to: utilize Microsoft Office applications ...

Equinix

AI/Machine Learning Engineer

Dallas, TX · Remote

Work closely with business, product, Data Science, and engineering teams to co-create solutions and ... Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ...

Equinix, Inc.

AI/Machine Learning Engineer

Dallas, TX · On-site

Work closely with business, product, Data Science, and engineering teams to co-create solutions and ... Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ...

INSPYR Solutions

AI Engineer

Dallas, TX · On-site

Internship, co-op, or professional engineering experience within a large-scale technology-driven ... Understanding of machine learning or data science fundamentals * Exposure to backend architecture ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Dallas, TX

Machine Learning Co Op information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

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

As of Jul 26, 2026, the average yearly pay for machine learning co op in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, 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 types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
What are the most commonly searched types of Machine Learning jobs in Dallas, TX? The most popular types of Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Co Op jobs? Cities near Dallas, TX with the most Machine Learning Co Op job openings:
Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in Dallas, TX as of July 2026, with employment types broken down into 5% Internship, 81% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% In-person, 8% Hybrid, and 5% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.
AI Engineering Fall Co-Op

AI Engineering Fall Co-Op

Lennox International

Richardson, TX • On-site

Other

Posted 3 days ago

Lennox International rating

6.9

Company rating: 6.9 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

361st of 485 rated machine equipment manufacturers

Job description

Who We Are
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.
What Drives Success
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

What We Are Looking For
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.
What We Offer
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.

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