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Machine Learning Research Intern Jobs in Houston, TX

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Machine Learning Research Intern information

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$24.4K

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How much do machine learning research intern jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning research intern in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Houston, TX?

For Machine Learning Research Intern jobs in Houston, TX, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Machine Learning Research Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Research Intern - Experimental Radiation Oncology

MD Anderson Cancer Center

Houston, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 898 rated healthcare providers


Job description

A Research Intern position is available in the Department of Experimental Radiation Oncology. The Research Intern is a trainee-level position designed for recent graduates seeking hands-on experience in translational cancer research and laboratory-based oncology studies. The intern will work under the guidance of a faculty mentor and research team to support ongoing studies while developing foundational skills in cancer biology research techniques, including cell culture, protein assays, western blot analysis, and cell characterization methods. This role provides direct exposure to the research process, including experimental design, laboratory data collection, data analysis, interpretation of scientific findings, and scientific literature review. The intern is expected to actively contribute to research activities while participating in structured training and educational programs focused on cancer research methodologies and scientific communication. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

Key Responsibilities

• Assist with laboratory-based cancer research activities related to experimental radiation oncology

• Perform mammalian cell culture techniques, including cell maintenance, cell counting, and microscopic observation of cells

• Participate in protein extraction, protein assay procedures, and western blot analysis under supervision

• Assist with cell characterization methods, including MTT assays and flow cytometry techniques

• Support data collection, data analysis, and interpretation of experimental findings

• Conduct scientific literature reviews related to cancer biology and translational oncology research

• Attend and participate in laboratory meetings, research discussions, seminars, and educational sessions

• Collaborate with faculty mentors and research staff on assigned laboratory research projects

• Ensure compliance with institutional laboratory safety standards and research policies

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES

By the end of the appointment, the intern will:

• Understand the fundamentals of experimental cancer research and translational oncology studies

• Demonstrate basic proficiency in laboratory techniques including cell culture, protein assays, and western blot analysis

• Develop an understanding of cell characterization methods used in cancer biology research

• Gain experience in experimental data collection, analysis, and scientific interpretation

• Improve scientific communication skills through literature evaluation and participation in research discussions

• Develop foundational knowledge of cancer biology with exposure to pancreatic and breast cancer research models

Training Environment

• Supervised by an Experimental Radiation Oncology faculty mentor

• Participation in structured mentoring and laboratory training activities

• Engagement in departmental and institutional research seminars, workshops, and educational programming

• Hands-on training within an active collaborative cancer research laboratory environment

• Exposure to multidisciplinary translational oncology research projects

ELIGIBILITY REQUIREMENTS

Required:

• Bachelor's or master's degree (recently obtained, typically within one year)

• Prior research experience

• Strong organizational, analytical, and communication skills

Preferred:

• Interest in oncology, clinical research, or academic medicine

• Experience with data analysis or scientific writing

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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