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Startup Machine Learning Intern Jobs in Houston, TX

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 ...

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 ...

Intern (Flight Ops AI)

Houston, TX · On-site +1

$14.50 - $19/hr

Pursuing a degree in Data Science, Information Systems, Artificial Intelligence/Machine Learning ... intern's academic schedule. * The ideal candidateis located inthe Salt Lake City area and can ...

Intern (Flight Ops AI)

Houston, TX · On-site

$16 - $20.75/hr

Pursuing a degree in Data Science, Information Systems, Artificial Intelligence/Machine Learning ... intern's academic schedule. * The ideal candidate is located in the Salt Lake City area and can ...

Showing results 41-60

Startup Machine Learning Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

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

As of Sep 4, 2026, the average yearly pay for startup machine learning 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 startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

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

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

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

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

Infographic showing various Startup Machine Learning Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Research Intern - Imaging Physics - Research

MD Anderson

Houston, TX • On-site

Internship

This job post has expired 2 days ago. 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

12th of 898 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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