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Machine Learning Intern Jobs in Florida (NOW HIRING)

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... edge, data-driven machine that's changing the future of beverage dispense. You'll work with ...

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... edge, data-driven machine that's changing the future of beverage dispense. You'll work with ...

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... edge, data-driven machine that's changing the future of beverage dispense. You'll work with ...

HIM/Coding Intern

Daytona Beach, FL · Remote

$14.50 - $19.25/hr

... learning from experienced coding professionals in preparation to grow into a coding role. The ... intern will assist in operational tasks within HIM and participate in coding education sessions to ...

HIM/Coding Intern

Daytona Beach, FL · On-site

$14.50 - $19.25/hr

... learning from experienced coding professionals in preparation to grow into a coding role. The ... intern will assist in operational tasks within HIM and participate in coding education sessions to ...

We are seeking a motivated and detail-oriented Engineering & Computer Science Intern to support our ... Exposure to data analysis, machine learning, or cloud platforms is a plus * Interest in product ...

Fiber Optic Splicing Intern

Tampa, FL

$13.75 - $18.25/hr

Fiber Optic Splicing Intern Program: This Fiber Optic Intern Program guides interns from ... Interns begin by learning fiber optic tools, safe handling, installation practices, and basic cable ...

Fiber Optic Splicing Intern

Tampa, FL · On-site

$13.75 - $18.25/hr

Fiber Optic Splicing Intern Program: This Fiber Optic Intern Program guides interns from ... Interns begin by learning fiber optic tools, safe handling, installation practices, and basic cable ...

Internship Opportunities

Orlando, FL · On-site +1

$14 - $18.75/hr

Machine Learning, AR/VR, and forward-thinking talent. * Data Scientists amp; Analysts: Those who ... Why Intern with Us? * Purpose-Driven Work: Contribute to projects that support military readiness ...

Intern

Naples, FL

$14.25 - $18.75/hr

Intern Hello, my name is Darius, and I'm the Founder and CEO of Celtic Hero ® Supplements! We are a brand new, startup supplement company based out of Naples, FL. We offer high quality, USA ...

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Showing results 1-20

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.

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 cities in Florida are hiring for Machine Learning Intern jobs? Cities in Florida with the most Machine Learning Intern job openings:
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.
Fall 2026 Software Engineering and Innovation Intern

Fall 2026 Software Engineering and Innovation Intern

U.S. Hunger

Longwood, FL • Hybrid

Other

Posted 12 days ago


Job description

Technical Research & Innovation Intern

As a Technical Research & Innovation Intern, you will serve as a hands-on assistant to the Chief Technology Officer (CTO), supporting strategic technology exploration, prototyping, and long-term systems planning. This role blends backend development with investigative work across emerging technologies—especially within the AWS ecosystem and artificial intelligence (AI). You'll help evaluate new tools and architectures, build proof-of-concept projects, and contribute to U.S. Hunger's next-generation technology roadmap.

This is a unique opportunity for technically curious individuals to gain exposure to high-level software engineering strategy while contributing directly to innovation across cloud, serverless, and AI/AGI domains.

Responsibilities

Technology Research & Exploration

  • Research and summarize emerging AWS services, developer tools, and architectural frameworks.
  • Explore AI, AGI, and machine learning capabilities, with a focus on integration potential using Python and C#.
  • Conduct vendor comparisons and write ups for tools and platforms under CTO consideration.
  • Prototype & Proof of Concept Development.
  • Build lightweight prototypes and experimental features that explore new solution pathways.
  • Assist in modeling cloud-native solutions using AWS Lambda, Step Functions, Bedrock, and related services.
  • Participate in API development and data integration experiments using RESTful architectures.

Backend Engineering & System Design Support

  • Support the maintenance and experimentation of backend services using C#/.NET on Windows Server and AWS EC2.
  • Develop or refactor backend modules to test architectural ideas or system migrations.
  • Participate in early design work for future system components alongside the CTO.

Documentation & Planning Support

  • Generate technical documentation, architecture diagrams, and internal briefs to aid in executive decision-making.
  • Track findings and help prepare presentation materials summarizing research or prototyping results.
Requirements
  • Actively pursuing a degree in Computer Science, Software Engineering, or related technical field.
  • Experience with or strong interest in backend development using C# and Python.
  • Familiarity with REST APIs, cloud services, or AWS basics preferred.
  • Eagerness to explore AI, automation, and modern cloud-native architecture.
Soft Skills
  • Inquisitive, self-motivated, and comfortable navigating ambiguity in emerging tech landscapes.
  • Able to synthesize technical findings clearly in writing or visual formats.
  • Strong collaborator with good time management and attention to detail.
  • Physical Environment
    • Work is primarily hybrid, with scheduled in-office presence in Longwood, FL.
    • Regular computer use requires screen time and keyboard work.