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Machine Learning Summer Internship Jobs in Spring, TX

Mariana Minerals

Machine Learning Engineer

Houston, TX · On-site

Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing--or a strong recent graduate with demonstrated project ...

Ayming

HR Intern (Summer Internship)

Houston, TX · On-site

$15/hr

Houston, TX (Galleria area) In-office (with HR Manager) Duration: 8 weeks (Summer Internship ... Learning & Development * Assist with training coordination and development initiatives * Project ...

Ayming

HR Intern (Summer Internship)

Houston, TX

$15/hr

Houston, TX (Galleria area) In-office (with HR Manager) Duration: 8 weeks (Summer Internship ... Learning & Development * Assist with training coordination and development initiatives * Project ...

Borusan Mannesman

Pipe Mill Intern

Baytown, TX

Internship Program - Summer Location: Baytown, Texas Internship Duration: Summer Period Position ... Weekly learning objectives and reflections Networking and engagement activities Final project ...

Persona AI

Software Engineering Intern

Houston, TX · On-site

... machine learning, or computer vision (through classes or personal interest) * Familiarity with version control systems (Git) or software development practices * Previous internship, co-op, or 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 ...

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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 Jun 20, 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 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 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 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

Machine Learning Engineer

Mariana Minerals

Houston, TX • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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