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Hourly Machine Learning Intern Jobs in Colorado (NOW HIRING)

Intern

Pueblo, CO · On-site

$14.75 - $19.75/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Intern

Greeley, CO · On-site

$14.50 - $19.25/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... University of Northern Colorado June 2026-August 2026 Intern

Intern

Greeley, CO · On-site

$14.50 - $19.25/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... Campus Department Intern, Greeley, CO June 2026-August 2026

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Hourly Machine Learning Intern information

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

AspectHourly Machine Learning InternHourly Data Science Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually enrolled in or graduated from a program in Data Science, Statistics, or related areas; proficiency in data analysis tools
Work EnvironmentTech companies, startups, research labs focusing on ML model developmentOrganizations applying data analysis to business problems, often in tech, finance, or healthcare sectors
Employer & Industry UsageCommonly used in AI/ML-focused roles within tech industriesWidely used across industries for data-driven decision making

The Hourly Machine Learning Intern focuses on developing and testing machine learning models, requiring programming and ML-specific skills. In contrast, the Hourly Data Science Intern emphasizes analyzing data to extract insights, often involving statistical analysis and data visualization. Both roles are valuable entry points in data-related fields but differ in technical focus and daily tasks.

What are popular job titles related to Hourly Machine Learning Intern jobs in Colorado? For Hourly Machine Learning Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Hourly Machine Learning Intern jobs in Colorado look for? The top searched job categories for Hourly Machine Learning Intern jobs in Colorado are:
What cities in Colorado are hiring for Hourly Machine Learning Intern jobs? Cities in Colorado with the most Hourly Machine Learning Intern job openings:

Intern, Software Engineering - Data Science Engineering (Broomfield, CO)

Magnite

Broomfield, CO • Hybrid

Full-time

Posted 25 days ago


Job description

Intern, Software Engineering - Data Science Engineering

Broomfield, CO

Hybrid Schedule (M/F remote, T/W/TH in-office)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

About the Team

Our Data Science Engineering team acts as the primary bridge between data science and the rest of engineering, owning a variety of features across Magnite's ecosystem. Through a mix of Scala Spark and Python jobs, we transform the platform's petabytes of data into insightful metrics and generate impactful signals that power our real-time systems at auction time.

As a Data Science Engineering Intern, you will:

  • Collaborate with teammates, data scientists, product managers, and engineering partners to design and deliver pragmatic data science solutions for real business needs.

  • Contribute to the design and implementation of scalable machine learning models, infrastructure, and product offerings.

  • Apply analytics thinking and a data-driven mindset to influence both technical and product decisions.

  • Learn and apply modern software development practices, including AI-assisted development tools, testing frameworks, and collaborative engineering workflows.

  • Participate in Agile development processes including sprint planning, standups, code reviews, and technical discussions.

  • Write and maintain high-quality code within our core technology stack, including Scala, Python, Spark, MapR, AWS, Snowflake, Databricks, Jenkins, Docker.

We're looking for someone with:

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

  • Curiosity, initiative, and a desire to continuously learn new technologies and solve challenging problems.

  • Strong interest in software engineering, problem-solving, and building scalable applications or automation systems.

  • Familiarity with one or more programming languages such as Java, Scala, Python, C++, Rust, or similar technologies.

  • Exposure to statistics, machine learning, or backend data pipelines is a plus.

  • Interest in emerging technologies such as AI-assisted development tools, machine learning, or large language models (LLMs).

  • Solid understanding of computer science fundamentals including data structures, algorithms, and software design principles.

  • Strong communication, collaboration, and learning mindset with the ability to work effectively in a fast-paced team environment.

Why Intern at Magnite?

  • Hands-on Impact: Work on real projects that have tangible impacts on internal tools and platform performance.

  • Mentorship: Gain dedicated guidance, shadow senior engineers, and participate in comprehensive learning opportunities.

  • Work-Life Integration: Enjoy a hybrid work environment. Our offices feature daily catered lunches, snacks, and frequent team events.

Company Culture:

We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.