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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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$84K

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

As of Aug 12, 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 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 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.
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Machine Learning Research Intern jobs near you
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, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Research Intern - Radiation Oncology - Research

MD Anderson

Houston, TX • On-site

Internship

Re-posted 17 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

23rd of 887 rated healthcare providers

Job description

A Research Intern position is available in the department Radiation Oncology. The Research Intern is a trainee-level position designed for recent graduates seeking hands-on experience in clinical and translational cancer research. The intern will work under the guidance of a faculty mentor and research team to support ongoing studies while developing foundational skills in oncology research. This role provides direct exposure to the research process, including study design, data collection, data analysis, and dissemination of findings. The intern is expected to actively contribute to research activities while participating in structured training and educational programs.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Key Responsibilities
• Assist with literature reviews to support research projects
• Participate in data collection, data entry, and data management
• Support data analysis and interpretation under supervision
• Contribute to research deliverables, including abstracts, presentations, and manuscripts
• Attend and participate in research meetings, seminars, and educational sessions
• Collaborate with faculty mentors and research teams on assigned projects
• Ensure compliance with institutional research protocols and IRB requirements
Learning Objectives / Expected Outcomes
By the end of the appointment, the intern will:
• Understand the fundamentals of radiation oncology research and clinical studies
• Describe a research project, including objectives, methodology, and endpoints
• Demonstrate basic skills in data analysis, scientific writing, and literature evaluation
• Present research findings through a poster, presentation, or written report
Training Environment
• Supervised by a radiation oncology faculty mentor
• Participation in structured mentoring (regular 1:1 meetings)
• Engagement in departmental and institutional research programming (seminars, workshops, didactics)
• Collaborative experience within an active research team
Position Scope
This is a training-focused position, not an independent research role. The intern will work under close supervision but is expected to demonstrate initiative, manage assigned tasks, and contribute meaningfully to 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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