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Machine Learning Intern Jobs in Florida (NOW HIRING)

Persona AI

Software Engineering Intern

Pensacola, FL · On-site

We're seeking a Software Engineering Intern to join our team in Houston, TX or Pensacola, FL and ... Machine Learning : Implement learning algorithms, training pipelines, and model optimization for ...

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

The intern will serve as a test subject in controlled, safe training scenarios. * Image Annotation ... Familiarity with machine learning concepts or computer vision applications. CESI recognizes that ...

New

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

The intern will serve as a test subject in controlled, safe training scenarios. Responsibilities ... Familiarity with machine learning concepts or computer vision applications. Special Requirements ...

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ...

ZF Group

Technology Research Intern

Miramar, FL · On-site

The intern will actively support these initiatives through research, analysis, and documentation ... tools, machine learning applications, and digital workflow platforms. * Support the Digital ...

ZF Group

Technology Research Intern

West Park, FL · On-site

The intern will actively support these initiatives through research, analysis, and documentation ... tools, machine learning applications, and digital workflow platforms. * Support the Digital ...

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Machine Learning Intern information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do machine learning intern jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning intern in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning jobs in Florida are:
What are popular job titles related to Machine Learning Intern jobs in Florida? For Machine Learning Intern jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Florida look for? The top searched job categories for Machine Learning Intern jobs in Florida are:
What cities in Florida are hiring for Machine Learning Intern jobs? Cities in Florida with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Florida as of June 2026, with employment types broken down into 47% Internship, 47% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Fort Myers, FL • On-site

Other

Posted 27 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

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