Machine Learning Engineer Intern
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The role
As a Machine Learning Engineer Intern, you will build tools and production-grade code to improve models and speed researchers.
You will implement algorithmic improvements that boost predictive power, training efficiency, or serving latency.
Design reliable data and feature pipelines and automate repeatable workflows from research to deployment and monitoring.
Collaborate with ML scientists and receive mentorship to translate findings into actionable next steps.
Required: Python, strong ML and software engineering fundamentals, probability and statistics, and on-track graduation by summer 2027.
Preferred: experience building ML tooling or real-world ML engineering projects and potential PhD studies.
You will implement algorithmic improvements that boost predictive power, training efficiency, or serving latency.
Design reliable data and feature pipelines and automate repeatable workflows from research to deployment and monitoring.
Collaborate with ML scientists and receive mentorship to translate findings into actionable next steps.
Required: Python, strong ML and software engineering fundamentals, probability and statistics, and on-track graduation by summer 2027.
Preferred: experience building ML tooling or real-world ML engineering projects and potential PhD studies.
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