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Machine Learning Intern Jobs in Aubrey, TX (NOW HIRING)

Position Overview We are seeking a motivated DevOps Intern to support the deployment, automation ... AI / MLOps Support * Assist with deployment and monitoring of machine learning and AI applications.

T&D Intern

Mckinney, TX · On-site

$14 - $18.50/hr

... learning opportunities and connecting concepts learned in the classroom to real-world applications ... Summary: The manufacturing intern will assist with various projects and initiatives in several ...

T&D Intern

Mckinney, TX · On-site

$14 - $18.50/hr

... learning opportunities and connecting concepts learned in the classroom to real-world applications ... Summary: The manufacturing intern will assist with various projects and initiatives in several ...

Asset Management Group Undergraduate Intern

Dallas, TX · On-site

$14.75 - $19.75/hr

As a PNC Intern, you willparticipatein a "best-in-class" internship program. During this 10-week ... Participates in social learning within the organization (e.g.,identifiesand networks with business ...

Field Services Technician Intern

Denton, TX · On-site

$18.75 - $25.50/hr

... or machinery at customer locations. This role involves troubleshooting issues, performing ... to continuous learning and professional development, staying updated on industry trends ...

INTERN

Irving, TX · On-site

$14.50 - $19.25/hr

Construction Intern Location: Various Offices and Locations in the US Summer 2026 Program Dates ... enthusiasm for learning about the construction industry. Returning interns will be offered ...

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

Showing results 21-40

Machine Learning Intern information

See Aubrey, TX salary details

$24.6K

$41.1K

$84.9K

How much do machine learning intern jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning intern in Aubrey, TX is $41,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Aubrey, TX? The most popular types of Machine Learning jobs in Aubrey, TX are:
What are popular job titles related to Machine Learning Intern jobs in Aubrey, TX? For Machine Learning Intern jobs in Aubrey, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Aubrey, TX look for? The top searched job categories for Machine Learning Intern jobs in Aubrey, TX are:
What cities near Aubrey, TX are hiring for Machine Learning Intern jobs? Cities near Aubrey, TX with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Aubrey, TX as of August 2026, with employment types broken down into 14% Internship, 28% Full Time, 29% Part Time, and 29% Temporary. Highlights an 100% In-person job distribution, with an average salary of $41,082 per year, or $19.8 per hour.

Full-time

Posted 18 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

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. 

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.

Employment Type: OTHER

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