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Machine Learning Summer Internship Jobs in Spring, TX

Clinical Student Intern

Houston, TX

$14.25 - $19/hr

Summer-Fall 2026 cohort interns have already been selected. * Fall-Spring cohort - Applications are accepted through March. Interviews and selections are made in late March/early April. * Fall 2026 ...

You will work on both front-end and back-end development, integrating machine learning models ... internships, personal projects, or coursework acceptable). AI/ML Experience: * Candidates should ...

Intern, Field Service

Houston, TX

$14.25 - $19.25/hr

This internship will last approximately 10-12 weeks, and the program will commence in the summer of ... Having the skills to understand and work with machinery, and can demonstrate a high level of ...

Engineering Intern

Houston, TX

$16 - $20.75/hr

... Summer 2026 Are you an engineering student who loves problem-solving and learning how things work ... This is a hands-on internship where you'll work on real projects, collaborate with experienced ...

Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

... Summer 2026 Are you an engineering student who loves problem-solving and learning how things work ... This is a hands-on internship where you'll work on real projects, collaborate with experienced ...

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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 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:
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.

$17/hr

Full-time

Posted 8 days ago


Job description

Job Description:

SEAL (Summer Earn and Learn) Program Support Intern

Salary: $17.00/Hour

Locations:Regional - SupportingBay City, Columbus, Sealy, Katy, Missouri City, Rosenberg, Waller, Wharton, and Southwest Houston.

Employment Type:Temporary

Duration:ApproximatelyMaythrough August (3Months)

This temporary role supports the SEAL youth workforce initiatives, including seasonal work experience programs, internships, and summer employment activities. Staff in this position play a vital role in ensuring youth participants have safe, meaningful, and skillbuilding work-based learning opportunities.

Purpose

To support the development, coordination, and oversight of highquality worksite placements for paid work experience, internships, and other work-based learning opportunities. This includes ensuring compliance, fostering employer partnerships, and contributing to the success of summer youth initiatives.

Key Responsibilities

  • Recruit, screen, and approve worksites in accordance with WIOA and HGCY requirements

  • Conduct worksite inspections to ensure safe, supportive, and youthfriendly environments

  • Assist employers with onboarding processes, supervision expectations, and worksite agreements

  • Monitor youth placements to ensure meaningful skill development, workplace readiness, and occupational exposure

  • Track, document, andreportyouthskillsattainment and progress

  • Coordinate and process youth timekeeping, payroll submissions, and attendance documentation

  • Serve as a point of contact for employers and youth, providing timely support and issue resolution

  • Perform additional duties as assigned to support program operations and outcomes

Minimum Requirements

  • Associate's degree OR two (2) years of experience in:

  • Employer relations

  • Human resources

  • Workforce development

  • Youth or young adult programming

  • Customer service or related fields

  • Note:College coursework may be substituted for experience on a yearforyear basis

  • Knowledge of workplace safety, supervision standards, and professional conduct expectations

  • Ability to work occasional evenings and weekends based on program needs

  • Must be able to travel within the West Region, includingBay City, Columbus, Sealy, Katy, Missouri City, Rosenberg, Waller, Wharton, and Southwest Houston

  • Strong communication, documentation, and organizational skills

  • Must pass a background check

  • Must obtain youthserving clearance (authorization to work with youth)

Preferred Skills

  • Experience collaborating with employers, community partners, or training providers

  • Understanding of occupational skills frameworks, career pathways, and work-based learning models

  • Strong organizational, negotiation, and relationshipbuilding abilities

  • Demonstrated cultural sensitivity and ability to work effectively with diverse populations

  • Ability to motivate youth, serve as a positive role model, and support goal achievement

  • Experience in workforce development or youth employment programs

  • Proficiency in Microsoft Office (Word, Excel, Outlook) and general computer literacy

  • Strong written and verbal communication skills

  • Ability to manage multiple priorities, meet deadlines, and perform well in a fastpaced environment

  • Proven ability to meet or exceed performance goals and program expectations

EDSI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.