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Intern Llm Developer Jobs in Florida (NOW HIRING)

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Intern Llm Developer information

What does an intern LLM developer do?

An Intern LLM (Large Language Model) Developer supports the development, testing, and deployment of AI models, specifically large language models like GPT or BERT. Their responsibilities often include data preprocessing, model fine-tuning, writing code to interact with APIs, and evaluating model performance. Interns work under the guidance of senior developers and researchers to gain hands-on experience in natural language processing and AI. This role is ideal for students or recent graduates looking to build practical skills in machine learning and AI development.

What are the key skills and qualifications needed to thrive as an intern LLM developer?

To thrive as an Intern LLM Developer, you generally need a solid background in computer science, programming (especially Python), and foundational knowledge of machine learning concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to large language models (LLMs) are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and learn in dynamic team environments. These skills and qualities are vital for contributing to cutting-edge AI projects and rapidly adapting to evolving technologies in the field.

What types of projects and learning opportunities can an intern LLM developer expect during their internship?

As an Intern LLM Developer, you can expect to participate in hands-on projects involving the development, fine-tuning, or evaluation of large language models (LLMs). Typical responsibilities include data preprocessing, implementing model training pipelines, and collaborating with senior engineers and data scientists to optimize model performance. You'll also have opportunities to contribute to research on natural language processing (NLP) tasks and gain exposure to industry-standard tools and frameworks. This role offers valuable mentorship and the chance to build practical skills in machine learning and AI, setting a strong foundation for a future career in the field.

What is the difference between Intern Llm Developer vs Intern Machine Learning Engineer?

AspectIntern Llm DeveloperIntern Machine Learning Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fieldsSimilar educational background, often with focus on ML or AI
Work EnvironmentTech companies, AI startups, research labsTech firms, startups, research institutions
Employer & Industry UsageFocused on developing large language models and NLP applicationsDeveloping various ML models, including NLP, computer vision, etc.
Common Search & ComparisonIntern Llm Developer vs Intern Machine Learning Engineer

Intern Llm Developers primarily focus on building and fine-tuning large language models, often specializing in NLP tasks. Intern Machine Learning Engineers have a broader scope, working on various ML models across different domains. Both roles require similar educational backgrounds and are found in tech and AI industries, but their specific focus areas differ.

What are the most commonly searched types of Llm Developer jobs in Florida?

The most popular types of Llm Developer jobs in Florida are:

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For Intern Llm Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Intern Llm Developer jobs in Florida look for?

The top searched job categories for Intern Llm Developer jobs in Florida are:

What cities in Florida are hiring for Intern Llm Developer jobs?

Cities in Florida with the most Intern Llm Developer job openings:

Intern Llm Developer jobs near you

Artificial Intelligence Co-Op/Intern - Spring 2027

The Mosaic Company

Lithia, FL • On-site

$13 - $17.50/hr

Full-time

Posted 7 days ago

Job description

The Mosaic Company (NYSE: MOS) is the world's leading integrated producer of concentrated phosphate and potash-two of the three most important nutrients in agriculture. We employ more than 13,000 people in six countries to serve farmers all over the world. Our Headquarters is in Lithia, Florida with operations throughout North America (U.S./Canada) and South America.
At Mosaic We Help the World Grow the Food it Needs - Apply today and join our team!
Artificial Intelligence Co-Op/Intern - Spring 2027
Where will you work: FishHawk site located at 13830 Circa Crossing Drive. Lithia, FL, 33547
An Artificial Intelligence Co-Op/Intern will support Mosaic's AI team in building and scaling AI/ML and GenAI solutions that drive business value across key functions. This role involves rapid prototyping, iterative development, and collaboration with data scientists and engineers to move ideas into production. Our student opportunities allow you to learn from professionals, offer competitive pay, an opportunity to work with a global leader on exciting projects and much more.
Term
January 11th, 2027 to April 23th, 2027
Full time Co-Op/Internship. Typically, 36-40 hours a week.
In person, Hybrid. 9/80 schedule if applicable.
What you'll do:
  • Build & Prototype AI Solutions

Develop and evaluate ML models, LLM-powered applications, or agentic AI workflows for a scoped business problem
Document methodology, assumptions, and trade-offs while completing a scoped analysis or prototype, then clearly translate results into actionable recommendations.
  • Develop Reproducible AI/Data Workflows

Build and document reproducible datasets, training pipelines, or evaluation harnesses
Define and document cleaning, feature engineering, prompt/evaluation, and validation processes to ensure scalability and reliability, while building reproducible datasets or pipelines.
  • Package & Communicate Results

Deliver a final package (summary, visuals, code/notebook, model card, runbook)
Present key insights, limitations, risks, and recommended next steps to both technical and business stakeholders, and deliver a final package including summaries, visuals, and supporting code or documentation.
  • Collaborate across the organization - partnering with data scientists, engineers, product managers, and business stakeholders to scope problems and ship solutions.
  • Participation in department meetings and meetings specific to the project assignment.
  • Adhering to Mosaic's mission, guiding principles and priorities, and key competencies.

What you'll need:
  • Junior level or above by January 2027 pursuing a degree in Computer Science or a closely related field (Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or Computer/Software Engineering) - Computer Science background strongly preferred
  • 2.75 GPA or higher
  • Proficiency in Python and familiarity with common libraries (e.g., pandas, NumPy, scikit-learn, PyTorch or TensorFlow); comfort with Git and Jupyter notebooks
  • Coursework, projects, or hands-on experience with machine learning, deep learning, NLP, or applied statistics
  • Exposure to Generative AI / LLMs (prompting, RAG, agentic workflows) and cloud platforms (Azure, AWS, or GCP) is a strong plus
  • Nimble, sharp, and intellectually curious - a fast learner who thrives in ambiguity, asks good questions, and picks up new tools and concepts quickly
  • Strong problem-solving skills and the ability to break down ambiguous business problems into structured, testable AI/data approaches
  • 1-2 years of experience volunteering, working with student/school organizations, or work is preferred.
  • Previous internship or co-op experience is preferred.
  • Reliable transportation and valid driver's license - You will need to be able to travel to and from sites and/or office.
  • Ability to work full time and be a student in standing at the time of the co-op/internship
  • Selected candidates will be required to successfully complete post-offer/pre-placement drug and alcohol screening, background check, physical, functional capacity examination.
  • Experience working in a team environment is a must
  • Effective verbal and written communication skills - able to explain technical concepts clearly to non-technical audiences

The physical demands described are representative of those that must be met by an employee to successfully perform the functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Must be able to safely perform the essential functions of the job without posing a direct threat to the safety of his or her own self, or the safety of others
  • Able to lift approximately 0-25 lbs. occasionally
  • Able to climb stairs and work at various heights
  • Able to distinguish varying or specific colors, patterns or materials
  • Able to hear, with or without correction
  • Able to read, write and understand basic English
  • Able to see, with or without correction
  • Able to use fine hand motor skills
  • Must be authorized to work in the United States

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