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Internship Full Stack Machine Learning Engineer Jobs in Littleton, CO

Quindar

Full Stack Engineer

Denver, CO · On-site

$120K - $180K/yr

About the Role Quindar is hiring a Full Stack Engineer to develop ground satellite operations software using Python, AWS, and modern web technologies. In this role, you will support mission-unique ...

Revolutional, LLC

Full Stack Engineer

Denver, CO · Remote

$110/hr

Full Stack Engineer Location: Remote Terms: Full-time Salary Range: $110-160k DOE Clearance: Qualified candidates must be US citizens and able to obtain a minimum of a Public Trust clearance Travel ...

Quindar

Full Stack Engineer

Denver, CO · On-site

About the Role Quindar is hiring a Full Stack Engineer to develop ground satellite operations software using Python, AWS, and modern web technologies. In this role, you will support mission-unique ...

Cymertek

Full Stack Software Engineer

Aurora, CO · On-site

Full Stack Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a highly skilled Full Stack ...

Hirekeyz Inc

Full Stack Java Developer

Denver, CO · On-site

$54 - $69.75/hr

Full Stack Java Developer Location: Denver, CO & Nashville, TN (Onsite) Duraction: Long Term Contract Job Overview We are seeking a skilled Full Stack Java Developer . The ideal candidate will have ...

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All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Littleton, CO

Internship Full Stack Machine Learning Engineer information

See Littleton, CO salary details

$44.6K

$135K

$190.8K

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

As of Aug 18, 2026, the average yearly pay for internship full stack machine learning engineer in Littleton, CO is $134,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $158,300.00 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.

What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Littleton, CO?

For Internship Full Stack Machine Learning Engineer jobs in Littleton, CO, the most frequently searched job titles are:

What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Littleton, CO look for?

The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Littleton, CO are:

What cities near Littleton, CO are hiring for Internship Full Stack Machine Learning Engineer jobs?

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Internship Full Stack Machine Learning Engineer jobs near you
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Littleton, CO as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,996 per year, or $64.9 per hour.

Full Stack Software Engineer

YORK SPACE SYSTEMS LLC

Greenwood Village, CO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

York Space Systems was founded to radically improve spacecraft affordability and reliability, transforming, and enabling next- generation space mission operations worldwide. Today, York is one of the most innovative aerospace companies, specializing in end-to-end customer solutions and the rapid production of spacecraft platforms. York's complete Space Segment Solution includes spacecraft production, payload integration, system integration & test, launch services, ground segment services, and mission operations, enabling customers to leverage York's existing technology solutions to get to orbit rapidly and responsively. We're looking to expand our team across the board.
The Simulation, Integration, and Test (SIT) department plays a pivotal role in ensuring the successful deployment and operation of satellites by supporting Flight Software, Ground Software, Vehicle Test, and Mission Operations.
This is a full stack role with an emphasis on both frontend and backend. Our full stack web applications are operational, user facing products, that needs to be highly reliable. We want someone who wants to be close to their users and iterate with them directly.
This role develops and maintains a full-stack application suite that York's test organization runs on. One is our test execution platform and the entry point for all testing across the organization, used by engineers on the production floor to run mission critical tests on real spacecraft before they ship. Another platform is the test artifact management and visualization application for our system of recording test data, capturing results from CI/CD and the production floor and turning them into the dashboards, metrics, and reports that internal teams and customers depend on. The other platform is our full-stack UI/UX for fault injection, simulation control, and visualization of our spacecraft simulation. Together they cover the full arc of a test: run it, see it, and prove what happened.
We are looking for an experienced engineer to be a key contributor on these platforms, with the opportunity to grow into broader ownership over time.
Responsibilities
  • Develop and extend backend services for mission critical test execution, including data modeling and query optimization
  • Build and maintain user facing interfaces, including real time views into running tests
  • Integrate products with lab, ground, and test infrastructure owned by other teams across the company
  • Work directly with test engineers on the floor to gather feedback, understand how tests actually get run, and iterate on the platform based on what you learn
  • Translate high level designs and requirements into high quality, production ready code across the stack
  • Develop automated tests for our products and the systems it interfaces with
  • Support test like you fly, test driven development for spacecraft flight software, ground software, and space vehicle integration
  • Write and execute test plans, procedures, and reports in collaboration with other York developers
  • Triage and fix bugs across a TypeScript monorepo: a Node (Hono) API server with Postgres persistence, a React frontend, and a Kafka/NATS ingest path.
  • Build and maintain CI/CD pipelines
  • Troubleshoot and debug full stack products and its supporting tools and infrastructure
  • Provide technical direction to more junior engineers, and create documentation and user guides
  • Communicate complex technical topics to non-technical audiences

Qualifications
  • Bachelor's degree or greater in Computer Science, Aerospace Engineering, or related field
  • 2+ years of professional software engineering experience
  • Strong full stack fundamentals, with backend development as the primary strength
  • Demonstrated proficiency with Python
  • Demonstrated proficiency with JavaScript/TypeScript and React or equivalent
  • Experience designing and building REST APIs
  • Experience with relational databases, data modeling, and query optimization (we use PostgreSQL)
  • Experience integrating with systems and APIs owned by other teams or third parties
  • Experience shipping user facing features, gathering feedback, and iterating quickly
  • Experience supporting a production application with an active user base
  • Experience with Docker, Docker Compose, and containerization
  • Experience building and maintaining CI/CD pipelines
  • Proficiency in a Linux environment, including bash scripting
  • Ownership of the full software development lifecycle: planning, execution, code review, and release, using Git and modern Agile practices

Preferred Qualifications
  • Domain experience with procedure execution, workflow engines, MES, or laboratory/test software
  • Experience migrating users off a commercial off the shelf tools
  • Experience with real time interfaces (WebSockets, telemetry or event streaming)
  • Experience working alongside hardware, in a lab, or in a test floor environment
  • Experience with agentic or AI assisted software development workflows
  • Experience deploying to air gapped or restricted network environments
  • Experience with end to end, system level automated testing
  • Experience with Software in the Loop (SITL) and/or Hardware in the Loop (HITL) test systems
  • Experience with embedded systems, networking, and pub/sub message middlewares
  • Interest in 3D graphics or mapping (three.js, deck.gl, WebGL, MapLibre)
  • Experience with C++
  • Proficiency with GitLab and its CI/CD tooling
  • Self starter with the ability to pick up new concepts quickly
  • Ability to obtain a Security Clearance (Secret or above)

Benefits
In addition to compensation, York Space Systems is proud to offer a comprehensive benefits package including medical, dental, and vision insurance along with PTO and a 401K.
How To Apply
Interested candidates are encouraged to apply by clicking the "Apply" link at the top of the page. York Space Systems will be accepting applications on a rolling basis until the position is closed. York Space Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, military or protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Must have permanent authorization to work in the United States. This policy applies to all terms and conditions or employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. YORK SPACE SYSTEMS IS AN EEO EMPLOYER.

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