Applied Scientist Intern

About the role#

As an Applied Scientist Intern, you will become a specialist in our models, products, and codebase. You will identify potential problems or opportunities for improvement, communicate these to the team, and suggest solutions. This role involves self-directed investigation, offline analyses using creative thinking, and presenting your findings to the ML team. You will receive mentorship from experienced practitioners and collaborate closely with the team to improve our products.

What you'll do#

• Research machine learning and statistical approaches to improve the predictive performance or business value of a model.
• Design, implement, and evaluate model, product, or technical enhancements using rigorous experimentation and validation methods.
• Translate research findings into clear recommendations, documented methodologies, and production-ready solutions.
• Work with your mentor to align stakeholders and drive next steps.

What you'll need#

• Bachelor, Masters, or PhD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field.
• On track to graduate by 2028.
• Strong fundamentals in statistical, probability, and machine learning theory.
• Ability to perform data analysis and evaluate machine learning or statistical models using Python.
• Basic SQL foundations.
• Strong communication skills and the ability to work well in a team.
• Intellectual curiosity, humility, and drive.
• Ability to use modern agentic tooling efficiently.
• Experience in supervised learning, model evaluation, and feature engineering techniques is preferred.
• Advanced statistical or econometrics knowledge is preferred.

Location & details#

• This role is fully remote.
• The term is rolling.
• This is a paid, full-time internship.
• You will meet to collaborate in-person once or twice during the internship, for 2-4 consecutive days at a time.