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

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field. * Demonstrable ...

TEAMINN

TEAMINN Fall Intern

Dallas, TX · Remote

$12/hr

What You'll Do As a TEAMINN Intern, you will gain hands-on experience supporting large-scale ... Interns play an active role in daily operations and customer support while learning the business ...

Reli Group Inc

Power BI Intern

Mckinney, TX · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Reli Group Inc

Power BI Intern

Dallas, TX · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. * Full-Stack Engineering: Develop efficient, secure ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. * Full-Stack Engineering: Develop efficient, secure ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. Full-Stack Engineering: Develop efficient, secure, and ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. Full-Stack Engineering: Develop efficient, secure, and ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. * Full-Stack Engineering: Develop efficient, secure ...

City of Frisco, TX

Intern HS - Shelving

Frisco, TX · On-site

$29K - $41K/yr

Frisco, TX Job Type: Part Time Intern Job Number: 202600132 Department: Library Division: LIBRARY CIRCULATION Opening Date: 07/17/2026 Closing Date: 8/17/2026 8:15 AM Central Summary Under general ...

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Showing results 41-60

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

Machine Learning Intern information

See Allen, TX salary details

$23.7K

$39.6K

$81.9K

How much do machine learning intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern in Allen, TX is $39,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,800.00 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Allen, TX? The most popular types of Machine Learning jobs in Allen, TX are:
What job categories do people searching Machine Learning Intern jobs in Allen, TX look for? The top searched job categories for Machine Learning Intern jobs in Allen, TX are:
What cities near Allen, TX are hiring for Machine Learning Intern jobs? Cities near Allen, TX with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,610 per year, or $19 per hour.

Data Analytics Intern

Trinity Logistics Group

Dallas, TX

Internship

Re-posted 12 days ago

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.

This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.

What You'll Do:

  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.
     

What You'll Have:

  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have

  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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