ZipRecruiter

Log In

1

Applied Machine Learning Intern Jobs in Colorado

Capital Rx

Senior Applied AI/ML Scientist

Denver, CO · On-site

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. • Minimum 4 years of experience in industry with a strong focus on applied AI/ML ...

EchoStar

Data Scientist - AI Products

Englewood, CO

$126.62K - $208.04K/yr

Bachelor's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field * 6+ years of experience in data science and applied machine ...

Cymertek

AI/ML Engineer

Aurora, CO · On-site

... Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Artificial Intelligence, Machine Learning, Data Science, Robotics ...

Cymertek

AI/ML Engineer

Aurora, CO

... Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Artificial Intelligence, Machine Learning, Data Science, Robotics ...

Paradigm

Senior Applied AI Engineer

Denver, CO · On-site

$127K - $187K/yr

The Senior Applied AI Engineer will design, deploy, and optimize AI systems that power next ... In this role, you'll build the bridge between machine learning models and real-world applications ...

next page

Showing results 1-20

People also search for

All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Colorado

Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Colorado? For Applied Machine Learning Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning Intern jobs in Colorado look for? The top searched job categories for Applied Machine Learning Intern jobs in Colorado are:
What cities in Colorado are hiring for Applied Machine Learning Intern jobs? Cities in Colorado with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Colorado as of May 2026, with employment types broken down into 34% Internship, 39% Full Time, 15% Part Time, and 12% Contract. Highlights an 100% In-person job distribution.
Senior Applied AI/ML Scientist

Senior Applied AI/ML Scientist

Capital Rx

Denver, CO • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
Judi Health is an enterprise health technology company focused on transforming healthcare through innovative solutions. They are seeking a Senior Applied AI/ML Scientist to develop and improve Large Language Models (LLMs) for healthcare applications, contributing to AI-based automation and enhancing customer experiences.
Responsibilities:
• Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases
• Develop tools and processes to create data pipelines for ML training and customization
• Finetune LLMs for the healthcare domain
• Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
• 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.
• Document and communicate research and development processes, and architectural decisions.
• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
• Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development.
• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
• Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
• Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
• Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc.
• Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.).
• Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc.
• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
• Passion for customer, innovation, product quality.
• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
• Good written communication skills that enable collaboration in a remote environment.
Preferred:
• PhD in AI, Machine Learning or Computer Science preferred.
• Experience in healthcare or life sciences is a plus.
Company:
Capital Rx is now Judi Health! Navigate to our new page here: https://www.linkedin.com/company/judi-health Founded in 2017, the company is headquartered in New York, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply