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Internship Full Stack Machine Learning Engineer Jobs in Homestead, FL

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Modeling Understanding how to frame business problems as data science problems Navigating the full ...

... audio engineers, artists, and developers to produce web tools to assist with game design and ... stack using React, MongoDB, Prisma, SQL, TypeScript, and Node.js, utilizing Git workflows. • ...

We are looking for a full stack developer who is comfortable owning a feature from the database schema to the last pixel and who already builds with AI as a core part of how they work, not as a ...

Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

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 Sep 10, 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 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 do internship full stack machine learning engineers do?

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 skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

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 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.

Software Developer (Full Stack) - Miami, FL (In-Office / Hybrid)

Miami, FL • On-site

$105K - $140K/yr

Full-time

Posted 14 days ago


Job description

Position Summary

We are seeking a talented and versatile Full Stack Software Developer that already lives in the Miami, FL area to design, develop, and maintain corporate portals, business applications, and API integrations. The ideal candidate combines strong front-end and back-end engineering skills with a modern, AI-augmented development workflow, leveraging tools such as GitHub Copilot, Claude Code, Cursor, or similar AI coding assistants to accelerate delivery without compromising code quality, security, or maintainability. This role requires a proactive problem-solver who can operate across the full software development lifecycle, from architecture and coding through deployment, monitoring, and production support.

Key Responsibilities

• Design, develop, and maintain corporate portals and business applications to meet evolving organizational needs.

• Maintain and continuously upgrade corporate user interfaces (UI) and backend systems for performance, scalability, and usability.

• Build, maintain, and expand API web services supporting Document Management System (DMS) integrations and other enterprise systems.

• Uphold and enforce coding standards across HTML, CSS, Bootstrap, React, JavaScript/TypeScript, XML, JSON and others as necessary.

• Provision, configure, and maintain development, staging, and production environments.

• Maintain source code repositories, branching strategies, and version control best practices.

• Implement and support CI/CD pipelines to enable reliable, frequent, and automated deployments.

• Basic understanding of prompt engineering and integrating AI/LLM APIs (e.g., OpenAI, Anthropic Claude) into applications is a plus.

• Experience with Identity Management (IDM) platforms such as AWS Cognito, Okta, or Auth0 is preferred.

• Familiarity with containerization technologies (Docker, Kubernetes) and microservices architecture.

• Bachelor's degree (BS) in Software Engineering, Computer Science, or a related field required.

Preferred / Nice-to-Have

• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or ARM templates).

• Familiarity with automated testing frameworks (Jest, Cypress, Playwright, Selenium).

• Exposure to GraphQL API development.

• Understanding of application observability and monitoring tools (Datadog, Grafana, New Relic, ELK stack).

• Awareness of web accessibility standards (WCAG 2.1).

Core Competencies

• Strong analytical and problem-solving skills with attention to detail.

• Excellent written and verbal communication skills.

• Ability to work independently and collaboratively within cross-functional teams.

• Strong sense of ownership, accountability, and follow-through.

• Adaptability and continuous-learning mindset in a fast-paced, evolving technology environment.

Education & Experience

• Bachelor's degree in Software Engineering, Computer Science, or a related discipline (required).

• 3+ years of professional Full Stack software development experience Work Environment

This position is primarily performed in an office/hybrid remote environment, so the ideal applicant should already reside in the south Florida area. Occasional after-hours availability is required to support critical issues, scheduled deployments, or production outages.