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

FTI Consulting

2027 Intern - Technology

Arlington, TX

$13.75 - $18.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

FTI Consulting

2027 Intern - Technology

Arlington, TX · On-site

$13.75 - $18.50/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

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Showing results 21-40

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

Machine Learning Intern information

See Burleson, TX salary details

$22.4K

$37.4K

$77.3K

How much do machine learning intern jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning intern in Burleson, TX is $37,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,600.00 and $40,400.00 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.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Burleson, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,429 per year, or $18 per hour.

Deals - DTDS - Analytics Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Dallas, TX

$29.25 - $48/hr

Full-time

Posted 4 days ago

Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - DTDS - Analytics Intern, you will immerse yourself in the dynamic world of data and analytics, contributing to client support initiatives within our Advisory practice. You will engage in data analysis tasks, leveraging your skills to support strategic decision-making and drive innovation. As an Intern, you will focus on learning and gaining exposure to PwC's methodologies, supporting teams with basic tasks, and participating in projects that enhance your understanding of data-driven insights. This role emphasizes the importance of adopting a learning mindset, appreciating diverse perspectives, and actively listening to enhance your development.
In this role at PwC, you will have the opportunity to work within our Advisory practice, where you will be involved in analyzing data to uncover patterns and trends that inform business strategies. You will be encouraged to ask questions, take initiative, and produce quality work that adds value for our clients. Your contributions will be integral to the team's success, and you will start to establish your personal brand, paving the way for future opportunities. This position offers a unique chance to develop your skills in data analysis and gain valuable experience in a professional environment.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices and methodologies
- Participating in the development of data-driven insights to assist clients in achieving sustainable growth
- Conducting research and gathering information to enhance understanding of complex data sets
- Utilizing tools like Alteryx and Power BI to automate analytics processes and create visualizations
- Engaging in algorithm development to translate business problems into computational solutions
- Assisting in the creation of dashboards to represent key performance indicators and business metrics
- Applying data mining techniques to identify patterns and trends within large data sets
- Collaborating with team members to integrate data from various sources for unified analysis
- Observing and learning from experienced professionals to develop personal brand and commercial awareness
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data-driven insights and analytics solutions
- Participating in cloud platform design and data architecture projects
- Observing and learning from experienced data analysts and AI specialists
- Applying a learning mindset to develop skills in data analysis and AI

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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