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Machine Learning Intern Jobs in Alabama (NOW HIRING)

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 ...

WOWK-TV

Weather Intern (In person) Summer 2026

Mobile, AL · On-site

$15 - $19.75/hr

Why Intern with WKRG-TV / wkrg.com in Mobile, AL? * You will learn so much by observing AND WORKING ... LEARNING OUTCOMES for the Summer 2026 Weather Internship include: Broaden understanding of ...

Sodexo

$13 - $15/hr

Campus Intern Location: TUSKEGEE UNIVERSITY - 69953001 Workdays/shifts: Varying shifts, days/hours ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

Sodexo

$13 - $15/hr

Campus Intern Location: TUSKEGEE UNIVERSITY - 69953001 Workdays/shifts : Varying shifts, days/hours ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

SodexoMagic

Campus Intern

Tuskegee Institute, AL · On-site

$13 - $15/hr

Campus Intern Location: TUSKEGEE UNIVERSITY - 69953001 Workdays/shifts : Varying shifts, days/hours ... This role offers hands-on learning experiences in event preparation, service execution, inventory ...

Caddell Construction

Intern - International

Montgomery, AL · On-site

$14.75 - $19.75/hr

Side-by-side learning with project leadership * "Boots on the ground and tool in hand" work with ... Personal coaching from an intern champion who cares about you and your career * Leaders who listen

Caddell Construction

Intern - International

Montgomery, AL

$14.75 - $19.75/hr

Side-by-side learning with project leadership * "Boots on the ground and tool in hand" work with ... Personal coaching from an intern champion who cares about you and your career * Leaders who listen

Caddell Construction

Intern - International

Montgomery, AL · On-site

$14.75 - $19.75/hr

Side-by-side learning with project leadership * "Boots on the ground and tool in hand" work with ... Personal coaching from an intern champion who cares about you and your career * Leaders who listen

Reli Group Inc

Power BI Intern

Tuscaloosa, AL

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Reli Group Inc

Power BI Intern

Birmingham, AL

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Alabama

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 May 28, 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 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.

More about Machine Learning Intern jobs
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:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Alabama as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $38,597 per year, or $18.6 per hour.
Applied Analytics Intern

Applied Analytics Intern

reveleer

Auburn, AL • On-site

$25/hr

Other

Posted 6 days ago

Job description

Applied Analytics Intern
Location: New Albany, Ohio (minimum of 3 days per week in office)
Duration: 20-40 pre-scheduled hours per week for 8-12 weeks
Education: Rising sophomores and juniors in relevant course of study
Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.
Role Overview:
Reveleer partners with health plans to power value-based care and risk adjustment programs through advanced analytics, technology, and clinical expertise. Our work ensures accurate documentation, improved patient outcomes, and more efficient healthcare operations.
Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for high-potential undergraduate students interested in healthcare analytics, operations, and artificial intelligence.
This program provides hands-on exposure to both operational workflows and advanced analytics, with a focus on developing and testing AI-driven solutions to improve medical record retrieval processes, which is one of the most critical components of risk adjustment.
Details:
Summer 1: Operations + Applied Experimentation
Interns will be embedded within the Medical Record Retrieval team, where they will:
Learn end-to-end retrieval operations and workflows
Participate directly in retrieval activities to build domain expertise
Collaborate with the Applied Analytics team on experimental AI initiatives
Test and evaluate AI tools designed to improve retrieval efficiency
Help define and track key performance metrics (e.g., turnaround time, yield, accuracy)
Document findings and contribute to process improvement recommendations
Summer 2: Analytics + AI Development
Returning interns will transition into the Applied Analytics team, where they will:
Build and maintain data pipelines supporting retrieval and analytics workflows
Develop and refine algorithms and AI tools to optimize retrieval processes
Analyze large healthcare datasets to identify trends and improvement opportunities
Design experiments to measure the impact of AI-driven interventions
Present insights and recommendations to cross-functional stakeholders
What You'll Gain
  • Deep exposure to healthcare data, risk adjustment, and value-based care
  • Hands-on experience applying AI/ML concepts to real-world operational problems
  • Understanding of how analytics drives measurable business impact
  • Mentorship from experienced analytics and operations professionals
  • Opportunity to return for a second summer with expanded technical ownership

Preferred Qualifications (Ideal Candidates)
  • Experience with data analysis tools (Python, R, SQL, or similar)
  • Familiarity with Excel or data manipulation techniques
  • Exposure to statistics, experimentation, or basic machine learning concepts
  • Ability to translate ambiguous problems into structured analyses
  • Curiosity about how operational processes work and how to improve them
  • Interest in applied AI (not just theory, but someone who wants to build and test things)
  • Strong attention to detail and willingness to engage in hands-on operational work
  • Self-starter mindset with a willingness to take initiative and learn quickly

Compensation:
Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
Reveleer E-Verifies all new hires.
Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.

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