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Machine Learning Intern Jobs in Texas (NOW HIRING)

Junior Engineering Intern

Addison, TX ยท On-site

$16.25 - $21/hr

... machine learning, and search technologies, with a focus on applying these concepts in cloud ... The intern program is typically three months; however, this timeframe may vary depending on the ...

AI Intern

San Antonio, TX ยท On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative ...

Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of ... Basic understanding of machine learning concepts, particularly in natural language processing and ...

As a AI Intern on the Technology team, a typical day for you will include: * Assist in developing, testing, and deploying AI and machine learning solutions. * Analyze and prepare data for model ...

As a AI Intern on the Technology team, a typical day for you will include: * Assist in developing, testing, and deploying AI and machine learning solutions. * Analyze and prepare data for model ...

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Machine Learning Intern information

See Texas salary details

$23.8K

$39.7K

$82K

How much do machine learning intern jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning intern in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 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.

What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What cities in Texas are hiring for Machine Learning Intern jobs? Cities in Texas with the most Machine Learning Intern job openings:

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX โ€ข On-site, Remote

Other

Posted 9 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.ย ย 

This opportunity is also available in our Chicago office.

What You'll Do:ย 

Led by our dedicated Education team,ย you'llย buildย a strong foundationย in market structure and options theory. This internship follows an apprentice-style learning modelย whereย you'llย work alongside an experienced researcher and contribute to a projectย that'sย aligned with current business needs. Throughout the internship,ย you'llย gain exposure to the AI tools andย technologiesย that support research and development across the business, withย the opportunity to contribute to several key areas:ย 

  • Develop predictive models and machine learning systems to better understand market behavior andย identifyย trading opportunitiesย 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performanceย 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk managementย 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiencyย 

What You'll Get: ย 

You'llย join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together,ย you'llย tackle some of the toughest challenges in the financial markets byย leveragingย cutting-edgeย machine learning research to develop innovative, real-world solutions.ย 

In addition,ย you'llย receive:ย 

  • The opportunity to work alongside best-in-class professionals from over 40 different countriesย 
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin,ย orย New York City based on performanceย ย 
  • Aย highly-competitiveย internship compensation packageย 
  • Optiver-covered flights, living accommodations, and commuting stipendsย ย 
  • Extensive officeย perks, including breakfast, lunch,ย snacks, regular social events, clubs, sporting leagues,ย and moreย 

What To Expect:ย 

As part of our assessment process, you may be invited toย participateย in a multi-day, on-siteย evaluativeย program.ย Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders,ย you'llย gain insight into how research is applied atย Optiverย and how PhD students transition successfully into industry.ย Attendance and successful completion of this program may beย requiredย to receive an internship offer.ย 

Who You Are:ย 

  • Currently enrolled in a PhD program inย Statistics, Computer Science,ย Machine Learning,ย Mathematics,ย or a related STEM field with outstanding academic performanceย 
  • Expectedย graduationย betweenDecemberย 2027ย -ย Juneย 2029ย and available to intern during Summer 2027ย 
  • Open to full-time opportunities upon graduation in 2028ย or 2029ย 
  • Solid foundation in mathematics, probability, and statisticsย 
  • Excellent research, analytical, and modeling skillsย 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-makingย 
  • Proficiencyย in any programming languageย 
  • Strong interest in working in a fast-paced, collaborative environmentย 
  • Fluent in English with strong written and verbal communication skillsย 

Who We Are: ย 

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.ย 

Ourย differences are our edge.ย Optiverย does not discriminateย on the basis ofย race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.ย ย 

Optiverย is supportive of US immigration sponsorshipย for this role.ย 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.ย