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

Citadel

Software Engineer - Intern (US)

Houston, TX · On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

ONEOK

Terminal Operator Intern - Houston, TX Area

Houston, TX · On-site

$14.25 - $19/hr

Join a company where learning happens through experience, relationships, and meaningful work. At ... The intern follows established processes, assists experienced operators, and gradually develops ...

Turner Construction

Intern - Houston

Houston, TX · On-site

$14.25 - $19/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

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

Machine Learning Intern information

See Pearland, TX salary details

$22.7K

$38K

$78.5K

How much do machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning intern in Pearland, TX is $37,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs

What job categories do people searching Machine Learning Intern jobs in Pearland, TX look for?

The top searched job categories for Machine Learning Intern jobs in Pearland, TX are:

What cities near Pearland, TX are hiring for Machine Learning Intern jobs?

Cities near Pearland, TX with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Pearland, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,968 per year, or $18.3 per hour.

Research Intern - Imaging Physics - Research

MD Anderson

Houston, TX

Internship

Re-posted 5 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

14th of 888 rated healthcare providers

Job description

A research intern position is available in the department of Imaging Physics, under the mentorship of Dr. Jia Wu. The trainee will collaborate on projects designated by the mentor and will contribute to all aspects of the research process, including project conception, data collection, and analysis. Primary data collection may include, but is not limited to, chart reviews for genomic typing, treatment response, and survival outcomes of lung cancer patients treated with various therapies, as well as the integration of histology, radiomics, and genomics data. The trainee will analyze results using mathematical and statistical tools, compile findings, prepare reports, and submit these to the mentor.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Collaborate within a multidisciplinary team that brings together expertise in oncology, radiomics, and AI/machine learning.
Gain comprehensive knowledge across all three domains through hands-on research and mentorship.
Develop independent research interests with guidance and support from mentor, fostering professional growth and innovation.
ELIGIBILITY REQUIREMENTS
Applicant must hold a bachelor's or master's degree. Applicant must have previous research experience
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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