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Internship Full Stack Machine Learning Engineer Jobs in Homestead, FL

SOSi

Full Stack Data Engineer

Doral, FL

SOSi is seeking a Full-Stack Data Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

SOSi

Full Stack Data Engineer

Doral, FL · On-site

SOSi is seeking a Full-Stack Data Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

Marlabs LLC

React Full Stack Developer

Miami, FL

Full Stack Developer We''re seeking a skilled Full Stack Developer to join our innovative team. The ideal candidate will excel in creating modern, responsive user interfaces while also being ...

Lennar

Principal Full Stack Engineer

Miami, FL · On-site

Principal Full Stack Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners ...

Lennar

Principal Full Stack Engineer

Miami, FL · On-site

Principal Full Stack Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners ...

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All JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Homestead, FL

Internship Full Stack Machine Learning Engineer information

See Homestead, FL salary details

$40.9K

$123.8K

$175K

How much do internship full stack machine learning engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for internship full stack machine learning engineer in Homestead, FL is $123,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $145,200.00 per year, depending on experience, location, and employer.

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 job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Homestead, FL look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Homestead, FL are:
Internship Full Stack Machine Learning Engineer jobs near you

Senior Full Stack Javascript Engineer (Remote, 4-day week)

Stack Influence

Miami, FL • On-site, Remote

$125K - $200K/yr

Contractor

Posted 23 days ago

Job description

Stack Influence is a VC-funded creator marketplace app connecting eCommerce brands with everyday social media users. We are a high-growth, remote-first startup that offers a flexible 4- day work week.
You will be responsible for developing the codebase and infrastructure for a modern tech stack (React, Node, Next.js, Azure Cloud). We are looking for a high impact individual contributor who can architect, build, and deploy end-to-end full-stack applications. We are a small team with two other senior engineers contributing to the codebase.
Salary is between $125-200k USD with equity potential.
Responsibilities:
  • Develop, test and iterate on product features spanning frontend (React, Next.js, TypeScript), backend (Node.js, PostgreSQL, Hono), and cloud infrastructure (Azure).
  • Work closely with product, design, QA, and business teams to translate requirements, mockups and process flows into production-ready features.
  • Design and build integrations with third-party services such as social media, eCommerce, artificial intelligence and financial services.
  • Follow best practices for code quality, reliability, security, and scalability.
  • Implement automated integration tests (Jest) that adhere to test plans.
  • Monitor live applications and troubleshoot issues post-deployment.

Qualifications:
  • 7+ years experience as a full-stack software engineer working on modern JavaScript/TypeScript codebases.
  • Strong data and querying skills, experienced with both relational databases (PostgreSQL) and NoSQL databases (MongoDB).
  • Strong experience with cloud infrastructure (Azure).
  • Experience with writing and debugging automated tests (Jest).
  • Motivated and productive in small, remote teams with async communication and minimal supervision.
  • Customer-first mindset with a focus on usability and performance.

Apply