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Machine Learning Internship Opt Cpt Jobs in Florida

Lead the design, development, and deployment of AI and machine learning solutions across business ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

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Machine Learning Internship Opt Cpt information

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.
What job categories do people searching Machine Learning Internship Opt Cpt jobs in Florida look for? The top searched job categories for Machine Learning Internship Opt Cpt jobs in Florida are:
What cities in Florida are hiring for Machine Learning Internship Opt Cpt jobs? Cities in Florida with the most Machine Learning Internship Opt Cpt job openings:

IAE Data Science Internship - Fall 2026

University of South Florida

Tampa, FL • On-site

$17.62/hr

Full-time, Internship

Medical, Dental, Life, Retirement

Posted 26 days ago


University Of South Florida rating

7.3

Company rating: 7.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

360th of 617 rated colleges and universities


Job description


IMPORTANT ELIGIBILITY REQUIREMENTS
  • This internship supports U.S. Department of Defense-funded programs. Applicants must be U.S. citizens and eligible to obtain a security clearance. Applicants who do not meet this requirement cannot be considered for this position.
  • Applicants must remain actively enrolled in an undergraduate degree program for the duration of the internship. Individuals who have already graduated prior to the internship start date are not eligible for this position.

Please Note: Authorization to work in the United States (including F-1 OPT/CPT, H-1B, or other employment authorization) does not satisfy this requirement. Applicants must be U.S. citizens to be eligible for this internship. Applicants who do not meet these eligibility requirements cannot be considered for this internship.
Organization Summary
The University of South Florida (USF) Institute of Applied Engineering (IAE) provides agile, best-value engineering solutions to enhance the performance and effectiveness of its sponsors, including the Department of Defense, other federal, state, and local agencies, and industry partners.
The Data Science Intern will work under the direction of Accenture Federal Services (AFS) technical leadership to support specialized programs. This internship offers an opportunity to work on meaningful data science and program management initiatives supporting broader Department of Defense (DoD) efforts. The intern will contribute to research, analysis, and the development of tools that enhance operational decision-making and resource allocation.
The internship program is administered by USF Institute of Applied Engineering. Upon hire, you will be considered both a USF IAE Temporary Employee and an AFS student intern.
Because this internship is partially funded by the U.S. Department of Defense and may involve access to Controlled Unclassified Information (CUI), U.S. citizenship is required for eligibility.
Time Commitment
  • Hours of operation are 8:00 AM to 5:00 PM Monday through Friday
  • Fall & Spring Semester: 15-20 hours per week.
  • Summer Semester: 20-29 hours per week.
  • Internship is primarily in-person (Tampa, FL) with limited remote work opportunities.

Opportunities
  • Work directly alongside AFS engineers and data scientists.
  • Gain hands-on experience with emerging AI and machine learning technologies.
  • Build a professional portfolio of data science and software development projects.
  • High potential for internship extensions and full-time employment opportunities following graduation.

Pay Rate
  • $17.62/hour

Responsibilities
Responsibilities
  • Support the design, development, and testing of AI-enabled applications utilizing Large Language Models (LLMs).
  • Assist in building and maintaining Retrieval-Augmented Generation (RAG) pipelines.
  • Develop data engineering workflows to collect, clean, transform, and organize structured and unstructured datasets.
  • Support integration of AI and machine learning capabilities into cloud-based environments.
  • Collaborate with software engineers and data scientists to evaluate model performance.
  • Assist with prompt engineering, model evaluation, and experimentation activities.
  • Document technical findings, system architectures, and development processes.
  • Contribute to project briefings, demonstrations, and technical presentations.

Qualifications
Qualifications
  • Must be a U.S. citizen.
  • Must be eligible to obtain a U.S. security clearance due to Department of Defense program requirements.
  • Must be actively pursuing a bachelor's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Artificial Intelligence, Mathematics, Statistics, or a related technical discipline.
  • Senior standing strongly preferred.
  • Minimum GPA of 3.0
  • Ability to report in-person 2-3x/week (Tampa, FL)
  • Familiarity with machine learning concepts and data science workflows.
  • Exposure to Large Language Models (LLMs), generative AI tools, or NLP concepts.

About Us
Working at USF
With approximately 16,000 employees, the University of South Florida is one of the largest employers in the Tampa Bay area. We are dedicated to cultivating a talented, engaged and driven workforce that strives to be bold. Employees excel in USF's rich academic environment, which fosters their development and advancement. In 2025, Forbes recognized USF as one of Florida's best large employers, ranked No. 1 among the state's 12 public universities. Our first-class benefits package includes medical, dental and life insurance plans, retirement plan options, employee and dependent tuition programs, generous leave, and hundreds of employee perks and discounts.
About USF
The University of South Florida is a top-ranked research university serving approximately 50,000 students from across the globe at campuses in Tampa, St. Petersburg, Sarasota-Manatee and USF Health. USF is recognized by U.S. News & World Report as a top 50 public university and the best value in Florida. U.S. News also ranks the USF Health Morsani College of Medicine as the No. 1 medical school in Florida and in the highest tier nationwide. USF is a member of the Association of American Universities (AAU), a group that includes only the top 3% of universities in the U.S. With an all-time high of $738 million in research funding in 2024 and as a top 20 public university for producing U.S. patents, USF uses innovation to transform lives and shape a better future. The university generates an annual economic impact of more than $6 billion. USF's Division I athletics teams compete in the American Athletic Conference. Learn more at www.usf.edu.
Compliance and Federal Notices
This position may be subject to a Level 1 or Level 2 criminal background check.
Applicants have rights under Federal Employment Laws:
The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws.
Family and Medical Leave Act (FMLA)
Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request is to be made at least five (5) working days prior to the time the accommodation(s) is needed. Visit the Central Human Resources ADA Accommodations webpage for more information on requesting an accommodation during the application/interview process.
Equal Employment Opportunity
The University of South Florida is an equal opportunity employer that does not discriminate against any employee or applicant for employment based on any characteristic protected by law. The University maintains affirmative action programs for protected veterans and individuals with disabilities in accordance with all applicable federal and state laws. This job description does not constitute an employment contract.

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About University of South Florida

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The University of South Florida (USF), located in Tampa, FL, US, is a highly respected, long-standing institution specializing in teaching, research, and public service. It operates within the higher education industry and offers over 180 undergraduate, graduate, specialist, and doctoral degree programs, across disciplines ranging from arts and sciences to business, engineering, and healthcare. Founded in the year 1956, USF has relentlessly strived to develop an environment conducive to learning and research, which over the years, has earned it a preeminent status among public universities across the globe. USF's mission is to foster a vibrant, student-centric learning environment that instills an expansive intellectual foundation to drive success. USF is known for its considerable impact on regional and state economies, contributing $5 billion annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Tampa, FL, US

Year founded

1956

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