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Internship Full Stack Machine Learning Engineer Jobs in Westminster, CO

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$180K - $225K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Clerkie

Full-Stack Engineer

Denver, CO · Remote

$90/hr

About the role We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end product experiences in a fast-moving environment. This role is ideal for someone who is comfortable ...

Quindar

Full Stack Engineer

Denver, CO · On-site

$120K - $180K/yr

  • Medical

  • Retirement

  • PTO

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

  • Medical

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

True Anomaly

Staff Software Engineer, Full Stack

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Build and maintain technical documentation, architectural decision records, and knowledge-sharing systems that scale organizational learning * Represent the full-stack engineering perspective in ...

True Anomaly

Staff Software Engineer, Full Stack

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Build and maintain technical documentation, architectural decision records, and knowledge-sharing systems that scale organizational learning * Represent the full-stack engineering perspective in ...

General Motors

Staff Machine Learning Engineer - Mapping

Denver, CO · On-site

$185 - $335/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and ...

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

Internship Full Stack Machine Learning Engineer information

See Westminster, CO salary details

$44.9K

$136K

$192.3K

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 Westminster, CO is $136,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $159,500.00 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 Westminster, CO?

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

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

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Cities near Westminster, CO with the most Internship Full Stack Machine Learning Engineer job openings:

Internship Full Stack Machine Learning Engineer jobs near you
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Westminster, 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 $136,009 per year, or $65.4 per hour.

Senior Machine Learning Engineer II

Capital Rx

Denver, CO • On-site

$180K - $225K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Location:Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)

Position Summary:

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.

Responsibilities:

  • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.

  • Develop and maintain backend services using Python, focusing on AI-driven applications.

  • Design and implement APIs for seamless integration with AI models and services.

  • Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.

  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.

  • Participate in code reviews, testing, and quality assurance processes.

  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.

  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.

  • Document and communicate development processes, system designs, and architectural decisions.

  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.

  • Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment.

  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.

  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.

  • Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies

  • Familiarity with cloud platforms such as AWS or Azure.

  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services

  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.

  • Passion for customer, innovation, product quality, service excellence, and test engineering

  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.

  • Experience working with microservices/an API-based application paradigm.

  • Good written communication skills that enable collaboration in a remote environment.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

New York, NY Salary Range
$180,400—$225,500 USD
Denver, CO Salary Range
$165,600—$207,000 USD
Charlotte, NC Salary Range
$150,400—$188,000 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.

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