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Applied Machine Learning Intern Jobs in Colorado

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process! Many job seekers ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

Relativity

Senior Applied Scientist

Denver, CO · On-site +1

Applied Science Team The Applied Science team operates at the core of Relativity's AI development ... Develop machine learning and generative AI models that ship as customer-facing product features

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process! Many job seekers ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

Relativity

Principal Applied Scientist

Denver, CO · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Consultants for Children, Inc.

ABA Intern

Aurora, CO · On-site

$15.25 - $20.50/hr

... learning opportunities within a behavioral health setting. What You'll Learn ... Introduction to Applied Behavior Analysis (ABA) * Professional skills within a behavioral health ...

Consultants for Children, Inc.

ABA Intern

Aurora, CO

$15.25 - $20.50/hr

... learning opportunities within a behavioral health setting. What You'll Learn ... Introduction to Applied Behavior Analysis (ABA) * Professional skills within a behavioral health ...

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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.

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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.
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Greeley, CO

Other

Posted 7 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

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