ZipRecruiter

Log In

1

Machine Learning Summer Internship Jobs in Colorado

TIFIN

AI Engineering Intern

Boulder, CO

$17 - $25/hr

ROLE OVERVIEW Join our 2026 summer internship program! Build real-world AI systems and agent ... Familiarity through former internships, coursework or research with machine learning or AI, APIs ...

Forgen

Project Engineer Summer Internship

Denver, CO · On-site

$17.25 - $22.50/hr

This internship applies the general knowledge of the physical sciences and mathematics underlying ... Must be self-motivated and interested in learning all aspects of environmental and geotechnical ...

Forgen

Project Engineer Summer Internship

Denver, CO

$27/hr

This internship applies the general knowledge of the physical sciences and mathematics underlying ... Must be self-motivated and interested in learning all aspects of environmental and geotechnical ...

True Anomaly

Machine Learning Engineer (I-III)

Denver, CO · On-site

$105K - $220K/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

next page

Showing results 1-20

All JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in Colorado

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 Jun 26, 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 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 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 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 job categories do people searching Machine Learning Summer Internship jobs in Colorado look for? The top searched job categories for Machine Learning Summer Internship jobs in Colorado 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:
Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Colorado as of June 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 Engineering Intern

AI Engineering Intern

TIFIN

Boulder, CO

$17 - $25/hr

Other

Posted yesterday

Job description

ROLE OVERVIEW

Join our 2026 summer internship program! Build real-world AI systems and agent workflows used by leading financial institutions-while learning how to ship production-grade AI from day one. You're paired with an AI Engineering leader and work on a single project for the three months. Top performers are invited to join the team full time! This is a full time internship based out of our Boulder office.

PROJECTS

  • Advisor Copilot (Multi-Agent Systems)
    Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data, analyzes portfolio exposures and risk scenarios, generates personalized insights, enforces compliance guardrails, and drafts client-ready communications - all within a monitored, auditable architecture.
  • Workflow Automation
    Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation - replacing fragmented tools with intelligent, autonomous systems.
  • AI Agent Platform & Infrastructure
    Architect a scalable multi-agent platform with orchestration engines, memory and state management, dynamic tool invocation, structured output validation, observability, fault tolerance, and automated evaluation - solving reliability, explainability, and regulatory challenges at scale.

WHAT YOU'LL BRING

  • Currently pursuing or recently completed a BS or MS in Computer Science, Engineering, or related field
  • Strong experience with Python
  • Familiarity through former internships, coursework or research with machine learning or AI, APIs, backend development

COMPENSATION

$17-25/hour

Note that interns do not qualify for benefits or equity, but there is potential for a full-time offer.

Apply