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Startup Machine Learning Intern Jobs in Alabama (NOW HIRING)

City of Hoover

Student Intern

Birmingham, AL · On-site

$14 - $18.75/hr

Job Title Intern Qualifications Currently enrolled in college and working toward a degree in ... Ability to operate office equipment such as printer, scanner, copier machine and multi-line phone ...

City of Hoover

Student Intern

Hoover, AL

$14 - $18.75/hr

... intern assignment are also eligible for the student internship. * Ability to maintain ... Ability to operate office equipment such as printer, scanner, copier machine and multi-line phone ...

City of Hoover

Student Intern

Hoover, AL · On-site

$14 - $18.75/hr

... intern assignment are also eligible for the student internship. * Ability to maintain ... Ability to operate office equipment such as printer, scanner, copier machine and multi-line phone ...

Reveleer

Applied Analytics Intern

Auburn, AL · On-site

$25/hr

Applied Analytics Intern Location: New Albany, Ohio (minimum of 3 days per week in office) Duration ... Exposure to statistics, experimentation, or basic machine learning concepts * Ability to translate ...

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Startup Machine Learning Intern information

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What are the typical responsibilities of a Startup Machine Learning Intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a Startup Machine Learning Intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are the most commonly searched types of Startup Machine Learning jobs in Alabama? The most popular types of Startup Machine Learning jobs in Alabama are:
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What job categories do people searching Startup Machine Learning Intern jobs in Alabama look for? The top searched job categories for Startup Machine Learning Intern jobs in Alabama are:
What cities in Alabama are hiring for Startup Machine Learning Intern jobs? Cities in Alabama with the most Startup Machine Learning Intern job openings:
Startup Machine Learning Intern jobs near you
AI/Machine Learning Internship

AI/Machine Learning Internship

Modern Technology Solutions, Inc.

Huntsville, AL • On-site

Internship

Posted 5 days ago

Job description

Modern Technology Solutions, Inc. is seeking a Artificial Intelligence / Machine Learning Intern (Data Science & Software Development) in Huntsville, AL for summer 2026.
We are seeking a motivated AI/ML Intern to support analytics and machine learning development for defense-related data challenges. In this role, you will build foundational skills in Python, data processing, and applied machine learning while working alongside experienced engineers and data scientists.
Responsibilities
• Develop and maintain Python scripts for data processing and analysis
• Assist in building, testing, and evaluating ML models
• Work with structured and unstructured datasets, including large or streaming data
• Help implement algorithms for classification, prediction, and pattern detection
• Support integration of AI/ML features into existing software systems and SaaS platforms
• Debug data or code issues and document workflows and findings
• Collaborate with the team to enhance tools, models, and processes
Required Qualifications
• 0-2 years of experience (coursework, internships, or personal projects welcome)
• Basic Python programming skills and understanding of programming fundamentals
• Introductory knowledge of machine learning concepts
• Exposure to at least one ML framework (PyTorch, TensorFlow, etc.)
• Familiarity with version control (Git)
• Ability to learn quickly and work well in a team
Preferred Qualifications
• Coursework or projects involving data analysis or ML
• Familiarity with common model types (e.g., decision trees, neural networks)
• Experience with data visualization libraries (Matplotlib, Seaborn)
• Exposure to large datasets, streaming data, or SaaS analytics platforms
• Interest in AI topics such as LLMs, RAG, or deep learning
• Jupyter notebooks, Linux command line, Docker basics, cloud platforms
Education
• Working toward or recently completed a degree in Computer Science, Data Science, Engineering, Mathematics, Physics or related field
• Equivalent practical experience considered
Clearance
  • Ability to obtain/maintain a US government security clearance. US Citizenship is required.

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