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

Magnite•Broomfield, CO

10d•Hybrid

About The Position

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.

Requirements

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.
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.

Nice To Haves

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).

Responsibilities

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.