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Startup Machine Learning Intern Jobs in Colorado

Aurex

CNC Machinist Intern

Arvada, CO · On-site

$17 - $20/hr

CNC Machinist Intern - Arvada, CO Who We Are Aurex is a mission-focused aerospace and defense ... A passion and aptitude for learning, along with a great work ethic * Experience in aerospace ...

Performacentric

ML Engineer

Denver, CO · On-site +1

The ideal candidate combines strong software engineering skills with practical machine learning experience and enjoys working in a fast-paced startup environment where they can directly influence ...

New

TIFIN

AI Engineering Intern

Boulder, CO

$17 - $25/hr

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 ...

AURA

Post Bachelor's Degree Intern

Boulder, CO · On-site

$25 - $28/hr

This is intended to be a hands-on learning experience for college degree holders in a unique ... machine, computer printer, etc. * May occasionally need to position self to maintain computer and ...

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All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Colorado

Startup Machine Learning Intern information

What are the typical responsibilities of a Startup Machine Learning Intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a Startup Machine Learning Intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

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

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

Magnite

Broomfield, CO • On-site

Full-time

Posted 10 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.

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