ML Engineering Intern

Program Overview:

The AMP Summer Internship Program offers college students the opportunity to work on meaningful, high-impact projects that directly support our Native Search Marketplace and go-to-market strategy.

Interns collaborate with experienced team members, gain exposure to how a fast-growing ad tech company operates, and develop practical, in-demand skills. The program is designed to help you grow professionally while making a real contribution to the business.

By the end of the summer, you’ll have a deeper understanding of how AMP creates value through innovation in search advertising - and how your work helps drive that impact.

About the Role

As a Machine Learning Engineer Intern at adMarketplace, you will help design and build real production-grade ML systems that directly power our core revenue and advertiser success engines. This is a hands-on, end-to-end role where you will move beyond theoretical models to solve real business problems using data, experimentation, and scalable ML pipelines.

You’ll work closely with Data Engineering to improve predictive models (including pCTR), production pipelines, and internal analytics tools - while learning how machine learning operates inside a live advertising platform.

What You’ll Do

Perform exploratory data analysis (EDA) on large-scale user and behavioral signals to uncover insights that improve ML model performance.
 

Research, prototype, and evaluate classification and regression model architectures to leverage granular and sparse data signals.
 

Apply an experiment-driven development framework to test new features, signals, and model improvements.
 

Build and iterate on ML models that outperform existing systems using real production data.
 

Design and maintain data pipelines and feature workflows in partnership with Data Engineering.
 

Identify data integrity issues, trace root causes, and collaborate with engineering teams to resolve them.
 

Translate business goals and product constraints into ML solutions that work in production—not just in notebooks.
 

Build and ship production-grade ML pipelines, models, and code that integrate with AMP’s systems.
 

Partner cross-functionally with BI, Engineering, and Product to create dashboards, monitoring tools, and model feedback loops.
 

Present model performance, tradeoffs, and business impact to leadership using clear, data-driven storytelling.
 

What You’ll Learn

How ML models move from research → experimentation → production → monitoring
 

How predictive models drive revenue, supply optimization, and advertiser success
 

How to bridge the gap between theory and real-world systems at scale
 

Qualifications

Required

Currently pursuing a Masters in Computer Science or a related field

Strong Python skills

Experience building classification or regression models

Solid understanding of machine learning fundamentals
 

Nice to Have

Experience writing data pipelines

Exposure to MLOps concepts (model versioning, monitoring, deployment)

Familiarity with Git/GitHub, Bitbucket, or similar version control tools

Experience using GenAI tools (e.g., Copilot, ChatGPT) to accelerate development

SQL, Spark, Databricks, or large-scale data processing experience
 

Join Us

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. 

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.   

We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.