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Internship Full Stack Machine Learning Engineer Jobs in Memphis, TN

Intellivo

Senior Full Stack Developer

Memphis, TN · On-site

Role Summary The Senior Full Stack Developer is responsible for designing, building, and maintaining software solutions that support Intellivo's case management platform modernization and client ...

Intellivo

Senior Full Stack Developer

Memphis, TN · On-site

Role Summary The Senior Full Stack Developer is responsible for designing, building, and maintaining software solutions that support Intellivo's case management platform modernization and client ...

Intellivo

Senior Full Stack Developer

Memphis, TN

Role Summary The Senior Full Stack Developer is responsible for designing, building, and maintaining software solutions that support Intellivo's case management platform modernization and client ...

Intellivo

Senior Full Stack Developer

Memphis, TN · On-site

Role Summary The Senior Full Stack Developer is responsible for designing, building, and maintaining software solutions that support Intellivo's case management platform modernization and client ...

Deloitte

Cyber Full-Stack Software Engineer

Memphis, TN · On-site

As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will ...

Stifel

Sr Developer - Full Stack

Memphis, TN · On-site

The Senior Developer will demonstrate leadership in mentoring and assisting all on the team, and will actively participate in all disciplines required in a full-stack environment. The Senior ...

Stifel

Sr Developer - Full Stack

Memphis, TN

The Senior Developer will demonstrate leadership in mentoring and assisting all on the team, and will actively participate in all disciplines required in a full-stack environment. The Senior ...

Stifel

Sr Developer - Full Stack

Memphis, TN · On-site

The Senior Developer will demonstrate leadership in mentoring and assisting all on the team, and will actively participate in all disciplines required in a full-stack environment. The Senior ...

Varsity Tutors

Machine Learning Tutor

Memphis, TN · Remote

$18 - $40/hr

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

Deloitte

Lead AI and Data Science Engineer II

Memphis, TN · On-site

$99K - $131K/yr

... machine learning, and application development to solve high-priority people challenges. You will ... Software & Data Engineering * Develop full-stack, web-based data and generative artificial ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Memphis, TN

Internship Full Stack Machine Learning Engineer information

See Memphis, TN salary details

$43.2K

$130.9K

$185.1K

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

As of Aug 8, 2026, the average yearly pay for internship full stack machine learning engineer in Memphis, TN is $130,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $153,500.00 per year, depending on experience, location, and employer.

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 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 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 Memphis, TN? The most popular types of Full Stack Machine Learning Engineer jobs in Memphis, TN are:
What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Memphis, TN? For Internship Full Stack Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Memphis, TN look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Memphis, TN are:
Internship Full Stack Machine Learning Engineer jobs near you

Senior Full Stack Developer

Intellivo

Memphis, TN • On-site

Full-time

Re-posted 23 days ago

Job description

Salary:

Role Summary


The Senior Full Stack Developer is responsible for designing, building, and maintaining software solutions that support Intellivo's case management platform modernization and client-facing applications. This role bridges legacy and modern technology stacks, executing an incremental migration from a C#/.NET thick-client desktop application and stored-procedure-driven backend to a cloud-native Azure architecture using modern front-end frameworks and API-first design patterns.


This person must be fluent in both legacy WinForms/WPF patterns and modern web development to execute a strangler-fig migration strategy that keeps production stable while delivering new cloud-native capabilities. The role partners closely with Data Engineering, Infrastructure, Product, and Operations to translate business requirements into reliable, secure, and user-centered applications in a regulated healthcare environment.


Core Responsibilities

  • Full Stack Application Development
    • Design, develop, and enhance full stack applications across both legacy and modern technology stacks.
    • Build responsive front-end interfaces using React, Blazor, or equivalent modern frameworks alongside back-end services on Azure.
    • Write clean, maintainable, and well-documented code aligned with engineering standards and architectural direction.
  • Legacy-to-Modern Migration
    • Execute incremental migration of a legacy C#/.NET WinForms/WPF desktop application to a cloud-native Azure architecture using the strangler-fig pattern.
    • Identify stored procedures and business logic suitable for extraction into modern API services without disrupting production operations.
    • Maintain and stabilize the legacy platform during the transition period, ensuring continuity for 75+ daily users.
  • API and Integration Development
    • Build and maintain RESTful APIs and services that support case management workflows, client-facing portals, and data pipeline integrations.
    • Work with Data Engineering and DevOps to ensure stable, scalable, and secure data movement across hybrid environments (on-premises and cloud).
    • Integrate with third-party services, reporting tools, and identity management systems as required.
  • Code Quality and Engineering Practices
    • Implement automated testing practices including unit, integration, and regression testing.
    • Participate in code reviews, enforce engineering standards, and contribute to the team's definition of done.
    • Support CI/CD pipeline adoption and infrastructure-as-code practices across the development lifecycle.
  • Production Support and Reliability
    • Partner with engineering and operations teams to troubleshoot issues, resolve defects, and improve system reliability.
    • Monitor system performance and propose improvements to both legacy and modern components.
    • Contribute to incident response and post-incident review processes.
  • Collaboration and Stakeholder Engagement
    • Work with Product and business stakeholders to understand requirements, contribute to technical designs, and deliver solutions aligned with roadmap priorities.
    • Communicate technical concepts clearly to non-technical partners including operations leadership and client services teams.
    • Mentor junior developers on engineering best practices, code quality, and modern development patterns.


Qualifications


Required

  • B.S. or B.A. in Computer Science, Software Engineering, Information Systems, or a related field.
  • 7+ years of professional full stack software development experience.
  • Proficiency in C#/.NET with strong experience in both WinForms/WPF and modern web frameworks (React, Blazor, or equivalent).
  • Experience building and supporting web applications, RESTful APIs, and integrated systems in production environments.
  • Strong SQL experience including comfort with stored-procedure-driven architectures and relational database design.
  • Experience with Azure cloud services (Azure SQL, Azure App Service, Azure Functions, or equivalent).
  • Familiarity with CI/CD, DevOps practices, version control (Git), and automated testing frameworks.
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate coding, refactoring, and code review workflows.


Preferred

  • Experience with legacy-to-modern migration patterns (strangler-fig, anti-corruption layer, or similar).
  • Familiarity with healthcare or regulated industry application development and HIPAA compliance requirements.
  • Exposure to Power BI embedded analytics or reporting platform integration.
  • Experience with TypeScript, Node.js, or other complementary full stack technologies.


Professional Skills

  • Strong problem-solving ability with attention to detail and pragmatic engineering judgment.
  • Ability to work independently while collaborating effectively across technical and business teams.
  • Comfortable navigating ambiguity in a hybrid legacy/modern environment where not everything is documented.
  • Demonstrated ownership and initiative in driving development tasks through completion.