1

Machine Learning Intern Jobs in Alabama (NOW HIRING)

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

Overview We are seeking a detail-oriented and motivated Geospatial AI Intern - Fall 2026 to join ... The internship will provide exposure to remote sensing, spatial analytics, machine learning, and ...

Intern - GN&C Fall Graduate Intern

Huntsville, AL · On-site

$16.50 - $21.50/hr

We are looking at the last minute for an undergraduate or a graduate student fall intern with ... Implementing machine learning algorithms for controls, modeling, system identification, or other ...

Intern - GN&C Fall Graduate Intern

Huntsville, AL · On-site

$16.50 - $21.50/hr

We are looking at the last minute for an undergraduate or a graduate student fall intern with ... Implementing machine learning algorithms for controls, modeling, system identification, or other ...

Engineering Intern

Heflin, AL · On-site

$20 - $23/hr

Our goal is to give students meaningful work that builds on what they are learning in the classroom ... Will design, install, and commission various machine improvements. Will be responsible for managing ...

Our goal is to give students meaningful work that builds on what they are learning in the classroom ... Will design, install, and commission various machine improvements. Will be responsible for managing ...

Our goal is to give students meaningful work that builds on what they are learning in the classroom ... Will design, install, and commission various machine improvements. Will be responsible for managing ...

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Showing results 41-60

Machine Learning Intern information

See Alabama salary details

$23.1K

$38.6K

$79.8K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Alabama is $38,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,700.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What are the most commonly searched types of Machine Learning jobs in Alabama?

The most popular types of Machine Learning jobs in Alabama are:

What are popular job titles related to Machine Learning Intern jobs in Alabama?

For Machine Learning Intern jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Alabama look for?

The top searched job categories for Machine Learning Intern jobs in Alabama are:

What cities in Alabama are hiring for Machine Learning Intern jobs?

Cities in Alabama with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Alabama as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $38,597 per year, or $18.6 per hour.

Intern - Geospatial AI Fall 2026

Huntsville, AL • On-site

$16.50 - $21.50/hr

Full-time, Part-time, Internship

Posted 19 days ago


Job description

Overview
We are seeking a detail-oriented and motivated Geospatial AI Intern - Fall 2026 to join our team for a hands-on, project-based internship supporting AI and machine learning development within a geospatial environment in the Huntsville, AL office. This is in the office only.
This position is ideal for students currently enrolled in a Computer Science, Engineering, or GIS-related undergraduate program who are eager to apply their academic knowledge to real-world spatial data problems.
The internship will provide exposure to remote sensing, spatial analytics, machine learning, and GIS software tools in a professional, collaborative setting.
At WGI, you will find talented, passionate associates providing exceptional service in collaborative, team-driven environments, all while having fun and enjoying the work they do. WGI prides its reputation as one of the nation's top consulting firms - and our awards support our beliefs. We strive to stay ahead of the curve investing in the latest tools and technology. We are always looking for remarkable individuals to join our team and help expand our visionary approach. If you think you are an innovative team-player and want to shape your community, join our WGI team today!
We offer paid internships for college students. Our college internship program provides a well-rounded learning environment that will serve to enhance your classroom education with hands on experience. You will gain hands-on experience with real projects for WGI's private and public clients. Bridge the gap between academics and the professional work environment as you develop the skills to navigate everyday work scenarios. It's the perfect way to discover where a career with WGI can take you.
#LI-onsite
Responsibilities
  • Assist in the preparation and cleaning of geospatial data, including satellite imagery, lidar, and vector datasets
  • Support the development and evaluation of AI/ML models for geospatial applications, such as feature extraction, classification, and image segmentation
  • Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based geospatial platforms
  • Help build and test geospatial work-flows and automation pipelines
  • Participate in data visualization tasks, creating maps and summaries of AI model results
  • Document code, processes, and findings in an organized and reproducible manner
  • Collaborate with lidar analysts, GIS analysts, and data scientists on active projects
  • Attend team meetings and contribute to technical discussions, brainstorming, and review sessions

Qualifications
Required:
  • Current enrollment in a 4-year degree program in Computer Science, Computer Engineering, Geospatial Science, Data Science, or a related STEM field
  • Completed coursework in programming (Python preferred), data structures, or machine learning fundamentals
  • Interest in geospatial data, remote sensing, and AI/ML applications
  • Ability to work independently and follow technical guidance
  • Strong attention to detail and willingness to learn
  • Good written and verbal communication skills

Preferred:
  • Familiarity with GIS platforms such as ArcGIS Pro, QGIS, or similar
  • Experience working with geospatial data libraries (e.g., GDAL, rasterio, geopandas)
  • Exposure to machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
  • Experience using Git or GitHub for version control
  • Previous internships, personal projects, or coursework related to spatial analysis, AI, or remote sensing

Internship Details
  • Hours: Part-time or full-time depending on availability and academic schedule
  • Mentorship: Interns will be paired with a technical mentor and receive regular feedback and career development guidance

Work Environment
  • Opportunity to work on real client or research projects in the geospatial intelligence and engineering domain
  • Collaborative and inclusive team environment
  • Exposure to geospatial tools, AI pipelines, and industry workflows
  • Emphasis on learning, experimentation, and professional growth

Physical Demands
The physical demands 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. Work is performed in an office setting. Hand-eye coordination is necessary to operate a computer, keyboard and mouse. Use of a telephone headset will allow for virtual communication with team members through Zoom and/or Microsoft Teams. While performing the duties of this job, the employee is often required to sit for prolonged periods, use hands/fingers to handle, feel or operate objects, tools or controls and reach with hands and arms, speak and hear. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
If you have what it takes to join our growing organization and want to be part of a dedicated team, please apply today. In return, WGI provides a competitive salary and an outstanding work environment. WGI is anEqual Opportunity Employer/Veterans/Disabled.