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Machine Learning Engineer Intern Jobs in Houston, TX

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... Engineer Intern to support the development of internal tools, automation workflows, and ... This role is ideal for someone who enjoys solving complex problems, learning quickly, and ...

Senior AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Design, develop, train, and deploy machine learning models for enterprise applications. * Build and optimize Generative AI, LLM, NLP, and predictive analytics solutions. * Develop RAG pipelines ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Mentor junior engineers and provide technical guidance on AI best practices, model development, and ...

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Petroleum engineers develop technical skills in production and reservoir engineering assignments ... Formal training + onthejob learning * Mentorship from experienced professionals * Multiple job ...

Showing results 41-60

Machine Learning Engineer Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do machine learning engineer intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer intern in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Houston, TX? The most popular types of Machine Learning Engineer jobs in Houston, TX are:
What job categories do people searching Machine Learning Engineer Intern jobs in Houston, TX look for? The top searched job categories for Machine Learning Engineer Intern jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Engineer Intern jobs? Cities near Houston, TX with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Software Engineer Intern

Sycamore Life Sciences, LLC

Houston, TX • On-site

$15 - $18/hr

Part-time

Posted 4 days ago

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Job description

Location: Houston, TX (In Office)
Employment Type: Internship

About the Role
Sycamore Life Sciences is seeking a motivated and curious Computer Software Engineer Intern to support the development of internal tools, automation workflows, and customer‐facing applications. This role is ideal for someone who enjoys solving complex problems, learning quickly, and contributing to real-world software initiatives in a fast‐moving life sciences environment. This is a part-time internship role.


Key Responsibilities
• Assist in designing, developing, testing, and deploying software applications and internal tools
• Support integration of APIs, databases, and third‐party services into existing systems
• Collaborate with engineering, product, and operations teams to translate business needs into technical solutions
• Participate in code reviews, documentation, and sprint planning
• Troubleshoot and resolve software bugs and performance issues
• Contribute to automation, data processing, and workflow optimization initiatives
• Research and prototype emerging technologies relevant to the organization’s needs
Preferred Skills & Experience
• Working toward a degree in Computer Science, Software Engineering, or a related field
• Strong foundation in programming languages such as Python and JavaScript
• Familiarity with web frameworks (React, Node.js, Django, Flask, etc.)
• Understanding of databases (SQL or NoSQL) and API integrations
• Experience with version control (Git)
• Strong analytical, problem‐solving, and communication skills
• Ability to work independently and in a collaborative team environment
Highly Desired Experience
• Hands‐on experience with GPT tools and GPT APIs in building applications is greatly desired
(e.g., prompt engineering, API integration, workflow automation, or AI‐powered feature development)
What You’ll Gain
• Exposure to real-world software engineering in a growing life sciences organization
• Experience working cross‐functionally with technical and operational teams
• Opportunities to contribute to meaningful projects with direct business impact
• Mentorship from experienced engineers and leaders
• A fast-paced, supportive environment that encourages learning and innovation

Company Description

Established in 2015, Sycamore Life Sciences is a Houston based, Fast Growing distributor focused on providing the best selection of laboratory consumables, reagents and lab equipment. We are building the world’s largest marketplace focused primarily on laboratory sample preparation workflows. Our mission is to provide the scientist with a delightful, efficient, and purpose-built buying experience to earn their recurring business.