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Machine Learning Summer Internship Jobs in Colorado

EIC Summer Internship

Denver, CO · On-site

$19.29 - $20/hr

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

EIC Summer Internship

Denver, CO · On-site

$19.29 - $20/hr

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

EIC Summer Internship

Denver, CO · On-site

$19.29 - $20/hr

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

EIC Summer Internship

Denver, CO · On-site

$19.29 - $20/hr

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

EIC Summer Internship

Denver, CO · On-site

$19.29 - $20/hr

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

EIC Summer Internship

Denver, CO · On-site

$19.29 - $20/hr

Job Title EIC Summer Internship Summary Fueled by ideas, expertise, and dedication across borders ... Interns will act as a part of the service line team learning and engaging each step of the way. You ...

2026 Summer Internship, FP&A - Data Science Denver, CO Founded in 2008, YES Communities is a ... Learn to build and evaluate introductory machine learning models (e.g., linear/logistic regression ...

Machine Learning Engineer

Denver, CO · On-site

$85K - $180K/yr

Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a ... Internship, research, or project experience applying ML to real-world or research datasets

Machine Learning Engineer

Denver, CO · On-site

$85K - $180K/yr

Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a ... Internship, research, or project experience applying ML to real-world or research datasets

Spend your summer learning the skills to grow as a modern actuary and leader. The Cigna Group's Actuarial Executive Development Program (AEDP) offers a premier 11-week internship that prepares future ...

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Machine Learning Summer Internship information

See Colorado salary details

$26.8K

$44.8K

$92.5K

How much do machine learning summer internship jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning summer internship in Colorado is $44,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

To thrive as a Machine Learning Summer Intern, you need a solid background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

What types of projects can I expect to work on during a Machine Learning Summer Internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

What is a Machine Learning Summer Internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What is the difference between Machine Learning Summer Internship vs Data Science Summer Internship?

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are popular job titles related to Machine Learning Summer Internship jobs in Colorado? For Machine Learning Summer Internship jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Machine Learning Summer Internship jobs? Cities in Colorado with the most Machine Learning Summer Internship job openings:
Infographic showing various Machine Learning Summer Internship job openings in Colorado as of May 2026, with employment types broken down into 38% Internship, 50% Full Time, 6% Part Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $44,777 per year, or $21.5 per hour.

AI/Machine Learning, Summer Intern (Hybrid)

accuris

Denver, CO

$17/hr

Other

Posted 29 days ago


Job description

AI/Machine Learning Summer Intern Supply Chain Intelligence | Accuris

Division: Supply Chain Intelligence

Level: Undergraduate (Junior/Senior) or Graduate (MS/MBA) 

Location: Denver, CO – Hybrid (3 days on-site per week)

Duration: June 1 – August 3–10, 2026 | 9–10 weeks

Compensation: Paid – $17/hour

ABOUT THE ROLE

Accuris's Supply Chain Intelligence division is transforming how engineers, procurement teams, and sustainability leaders understand the global electronics supply chain. We are looking for a creative, technically strong AI/ML Summer Intern to join our team and help build the next generation of AI-powered capabilities — from carbon footprint calculators for electronic components to predictive algorithms for supply chain risk and availability.

This is a hands-on, build-first internship. You will go from idea to working prototype, collaborating closely with product managers, engineers, and data scientists. By the end of the summer, you will have shipped a real AI tool and presented it to audiences ranging from engineers to senior executives.

WHAT YOU'LL WORK ON

  • Design and build AI-powered prototypes such as carbon footprint calculators for electronic components or predictive models for supply chain risk, demand, and component availability.
  • Apply LLM and generative AI techniques to create intelligent, data-driven tools using platforms like OpenAI, Anthropic Claude, or LangChain.
  • Develop and validate machine learning models using Python and standard ML libraries (scikit-learn, PyTorch, TensorFlow, etc.).
  • Work with cloud-based data pipelines, SQL databases, and dashboards to source and transform supply chain data.
  • Use rapid "vibe coding" methodologies to iterate quickly on AI concepts and validate ideas early.
  • Translate your technical work into clear, compelling presentations for both engineering teams and executive audiences.

WHAT YOU'LL DELIVER

By the end of the summer, you will be expected to deliver two things:

  • A working AI prototype — a functional tool or model that demonstrates clear value against a supply chain intelligence use case (e.g., component carbon footprint estimator, predictive availability scorer, or similar).
  • An executive-ready presentation — a polished deck communicating your approach, methodology, findings, and recommended next steps for the business.

REQUIRED QUALIFICATIONS

  1. Currently enrolled as a Junior or Senior undergraduate, or a Graduate (MS or MBA) student in Computer Science, Data Science, Electrical Engineering, Information Systems, or a related field.
  2. Demonstrated experience building AI applications — whether through coursework, personal projects, open-source contributions, or prior internships.
  3. Proficiency in Python with hands-on experience using ML libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
  4. Experience working with LLM/GenAI platforms (e.g., OpenAI API, Anthropic Claude, LangChain, RAG pipelines, or prompt engineering).
  5. Familiarity with cloud platforms (AWS, Azure, or GCP) and data tools including SQL and data pipeline or dashboard tooling.
  6. Strong written and verbal communication skills; able to present technical concepts clearly to both technical peers and non-technical stakeholders.
  7. Self-starter with the ability to move fast, iterate, and learn from ambiguous, real-world data problems.

PREFERRED QUALIFICATIONS

  • Prior exposure to supply chain, electronics manufacturing, procurement, or sustainability/ESG domains.
  • Familiarity with carbon accounting frameworks, life cycle assessment (LCA), or sustainability data (e.g., GHG Protocol, Scope 3 emissions).
  • Experience building and evaluating predictive models for time-series, classification, or regression problems.
  • Active portfolio of AI/ML projects (e.g., GitHub, Kaggle, Hugging Face, or personal website).
  • Comfort with rapid prototyping and "vibe coding" — the ability to quickly scaffold and iterate on AI-driven tools.

ABOUT ACCURIS

Accuris provides engineers, procurement specialists, and product teams with trusted data and intelligence to design better products and build more resilient supply chains. Our Supply Chain Intelligence division delivers real-time component data, risk analytics, and predictive insights to help global organizations make faster, smarter sourcing decisions. This internship puts you at the frontier of AI applied to one of the world's most complex and consequential industries.