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Internship Full Stack Machine Learning Engineer Jobs in Florida

Kavaliro

Full Stack Engineer

Orlando, FL

Overview We're seeking a Full Stack Engineer with deep technical expertise across Java, C, and ... Experience with data pipelines , machine learning integration , or IoT platforms is a plus.

ClifyX

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data Scientists and Data Analysts in creating scalable, data-driven, customer-centric solutions, capable ...

ENSCO

Machine Learning Engineer

Melbourne, FL

$72K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

$73K - $131K/yr

Position Description ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks ...

Danfoss LLC

Sr. Full-Stack Engineer

Tallahassee, FL

We promote from within and support your learning with mentoring, training, and access to global ... Information at a Glance Apply now Danfoss engineers solutions that increase machine productivity ...

MDG

Full Stack Engineer

Boca Raton, FL · On-site +1

Full Stack Software Engineer MDG Solutions is a national, full-service marketing solutions partner ... Openness to learning new technologies as the stack evolves and to improving how the team works, not ...

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Internship Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Florida? The most popular types of Full Stack Machine Learning Engineer jobs in Florida are:
What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Florida? For Internship Full Stack Machine Learning Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Florida look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in Florida with the most Internship Full Stack Machine Learning Engineer job openings:
Internship Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Modernizing Medicine

Boca Raton, FL

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Join the Team Modernizing Medicine
At ModMed, we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.
A Culture of Excellence
When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:
  • Consistently ranked as a Top Place to Work
  • 2025 Globee Business Awards: Gold Globee for "Technology Team of the Year"
  • 2025 Black Book Awards: Ranked #1 EHR in 11 Specialties
  • Florida Venture Forum: Venture-Backed Company of the Year
We are growing fast, thinking big, and we are just getting started.
Ready to modernize medicine with us?
Job Description Summary:
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging patient messages and managing clinical workflows.
Your mission is to design systems that don't just respond, but act-executing complex tasks with minimal human intervention while maintaining high standards of safety, empathy, and accuracy.
What you'll do
  • Autonomous Agent Development
    Design and deploy multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or no-code/low-code agent frameworks to execute complex, non-linear clinical workflows.
  • Patient Engagement Agents
    Build and optimize conversational AI interfaces that handle message triage, sentiment analysis, and context-aware responses that are natural, empathetic, and patient-centric. Develop tool-calling architectures that enable AI agents to interact with external APIs, EHR systems, and databases to perform real-world actions.
  • Model & Agent Evaluation
    Design and implement evaluation frameworks to measure model and agent performance, including accuracy, reliability, safety, and task completion. Continuously improve systems using structured evaluation methodologies and feedback loops.
  • Safety & Guardrails
    Implement robust evaluation pipelines and guardrails (e.g., NeMo Guardrails) to ensure agent safety, clinical accuracy, and HIPAA compliance.
  • AI Observability
    Create and maintain dashboards to monitor agent reasoning traces, system performance, uptime, and task completion rates in production environments.
What you'll bring
  • 3+ years of experience in Machine Learning with a strong focus on AI agents and conversational NLP systems.
  • Proven experience building autonomous systems using LangGraph, AutoGen, CrewAI, or similar no-code/low-code agent frameworks.
  • Hands-on experience with fine-tuning models and implementing rigorous evaluation frameworks to ensure agent performance, safety, and reliability. Familiarity with techniques for detecting hallucinations, bias, and failure modes in agent behavior.
  • Strong understanding of guardrails, alignment techniques, and safety mechanisms to ensure compliant, accurate, and trustworthy agent outputs in sensitive environments.
  • Hands-on experience with AWS and Databricks, including building CI/CD pipelines for deploying machine learning models and AI agents.
  • Strong proficiency in Python and experience with modern evaluation frameworks such as RAGAS or DeepEval.
ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:
United States
  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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