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Machine Learning Summer Internship Jobs in Spring, TX

Clear Companies

Summer Intern

Cypress, TX · On-site

$13 - $17.50/hr

Interns will gain real-world exposure to construction operations while also supporting planning ... Field presence is essential for learning and project support. Key Responsibilities * Assist project ...

Clear Companies

Summer Intern

Cypress, TX · On-site

$13 - $17.50/hr

Interns will gain real-world exposure to construction operations while also supporting planning ... Field presence is essential for learning and project support. Key Responsibilities * Assist project ...

The Women's Home

Internship

Houston, TX · On-site

... learning important professional skills while serving some of the most vulnerable members of our ... For one semester or summer placements, we require 30 hours per week for at least 10 weeks.

Buckner International

Internship

Houston, TX

Summer 2026 Term: April 17, 2026 * Fall 2026 Term: June 26, 2026 These deadlines allow adequate ... learning experiences within our programs and communities. We offer placements across eleven cities ...

Buckner International

Internship

Houston, TX · On-site

$14.25 - $19/hr

Summer 2026 Term: April 17, 2026 * Fall 2026 Term: June 26, 2026 These deadlines allow adequate ... learning experiences within our programs and communities. We offer placements across eleven cities ...

Buckner International

Internship

Houston, TX

$14.25 - $19/hr

Summer 2026 Term: April 17, 2026 * Fall 2026 Term: June 26, 2026 These deadlines allow adequate ... learning experiences within our programs and communities. We offer placements across eleven cities ...

NOV, Inc.

Senior Data Scientist

Houston, TX

Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

Cotton Holdings

AI Solutions Fellowship

Houston, TX · On-site

$18/hr

We are looking for two highly motivated summer interns to work on real-world AI use cases across ... Hands-on experience building real AI solutions (not just learning theory) * Exposure to business ...

Cotton Holdings

AI Solutions Fellowship

Houston, TX

$18/hr

We are looking for two highly motivated summer interns to work on real-world AI use cases across ... Hands-on experience building real AI solutions (not just learning theory) * Exposure to business ...

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All JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in Spring, TX

Machine Learning Summer Internship information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do machine learning summer internship jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning summer internship in Spring, TX is $37,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are popular job titles related to Machine Learning Summer Internship jobs in Spring, TX? For Machine Learning Summer Internship jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Summer Internship jobs in Spring, TX look for? The top searched job categories for Machine Learning Summer Internship jobs in Spring, TX are:
What cities near Spring, TX are hiring for Machine Learning Summer Internship jobs? Cities near Spring, TX with the most Machine Learning Summer Internship job openings:
Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Spring, TX as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $37,895 per year, or $18.2 per hour.
AI & Data Analytics Co-op/Intern

AI & Data Analytics Co-op/Intern

Amot Controls Corporation

Houston, TX • On-site

Full-time

Posted 23 days ago

Job description

Position Type: Co-op / Internship (Graduate-level, semester or summer term)
Location: [On-site - Houston]
Duration & Schedule: 10-12 week summer internship OR 4-8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).
Key Responsibilities:
  • Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
  • Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
  • Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
  • Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
  • Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
  • Support adoption through training, documentation, and change-management support.
  • Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:
  • Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
  • Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
  • Working knowledge of SQL - able to write joins, aggregations, and window functions against a relational database.
  • Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
  • Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:
  • Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
  • Exposure to the Microsoft Azure AI stack - Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
  • Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
  • Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
  • Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
  • Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:
  • Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
  • Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
  • A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:
  • Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
  • Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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