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

Yellowstone Landscape

Intern

Bryan, TX

$13.75 - $18.50/hr

A rotating schedule and learning objectives are clearly defined before you begin, allowing the Branch Manager, Intern Mentor and you to develop a program that best suits your interests and the needs ...

Fellowship of Christian Athletes

Intern

College Station, TX · On-site

$11.50 - $15.25/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

STgenetics

Travel Intern

Navasota, TX · On-site

$12.50 - $16.75/hr

POSITION SUMMARY The Travel Intern will support STgenetics' domestic and global travel operations by assisting with travel coordination, logistics, and reporting. This role will help ensure accurate ...

STgenetics

Travel Intern

Navasota, TX · On-site

$12.50 - $16.75/hr

POSITION SUMMARY The Travel Intern will support STgenetics' domestic and global travel operations by assisting with travel coordination, logistics, and reporting. This role will help ensure accurate ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Bryan, TX

Machine Learning Intern information

See Bryan, TX salary details

$23.5K

$39.3K

$81.1K

How much do machine learning intern jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning intern in Bryan, TX is $39,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Bryan, TX? The most popular types of Machine Learning jobs in Bryan, TX are:
What are popular job titles related to Machine Learning Intern jobs in Bryan, TX? For Machine Learning Intern jobs in Bryan, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Bryan, TX look for? The top searched job categories for Machine Learning Intern jobs in Bryan, TX are:
What cities near Bryan, TX are hiring for Machine Learning Intern jobs? Cities near Bryan, TX with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Bryan, TX as of June 2026, with employment types broken down into 3% As Needed, 40% Full Time, 54% Part Time, and 3% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $39,266 per year, or $18.9 per hour.

Learning and Development Intern

US Modules

College Station, TX

$12.50 - $16.50/hr

Internship

Posted 23 days ago

Job description

Position Summary

The Learning & Development Intern will gain hands-on experience in a fast-paced manufacturing environment while contributing to real business initiatives. This internship is designed to provide practical, career-related experience aligned with the student’s academic focus.

Learning Objectives

By the end of this internship, the intern will:

  • Develop a foundational understanding of adult learning principles and corporate training systems
  • Gain hands-on experience with Learning Management Systems (LMS), curriculum development, and training evaluation
  • Strengthen professional communication and facilitation skills in a workplace setting
  • Participate in real-world L&D projects that impact employee development and operational compliance
  • Understand workplace expectations and regulatory training requirements in a manufacturing environment

Key Responsibilities

  • Assist with curriculum development and instructional material creation for manufacturing training programs
  • Support LMS deployment, configuration, and content upload activities
  • Track and maintain training records to ensure compliance and audit readiness
  • Facilitate classroom-based training sessions under supervision
  • Support audit preparedness activities including documentation review and record verification
  • Conduct training evaluations and assist with data analysis to measure program effectiveness
  • Collaborate with cross-functional teams including Operations, Quality, and Safety
  • Participate in L&D team meetings and contribute ideas for process improvement

Qualifications

  • Currently enrolled student at Texas A&M University or accredited institution
  • Pursuing a degree in Education, Instructional Design, Educational Technology, Human Resource Development, or related field
  • Strong interest in adult learning, corporate training, and employee development
  • Excellent communication and organizational skills
  • Willingness to learn and contribute in a team environment
  • Ability to work independently and take initiative
  • Comfortable presenting and facilitating in front of groups

Preferred Qualifications

  • Prior Strong interest in adult learning, corporate training, and employee development
  • Excellent communication and organizational skills
  • Willingness to learn and contribute in a team environment
  • Ability to work independently and take initiative
  • Comfortable presenting and facilitating in front of groups

Additional Information

  • This position may be eligible for academic credit (if approved by the university)
  • Internship duration and schedule may vary based on academic requirements
  • High-performing interns may be considered for future employment opportunities