Master's Machine Learning Engineer Intern — Summer Impact

Wwshemi; San Francisco, New York, Seattle (CA, NY, WA); In loco; USD 55.000 - 83.000; Part-time

Descrizione del lavoro

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g.

fraud detection, enhanced support, and predicting user behavior.

Competenze

• Pursuing a Master's degree in CS/ML, expected to graduate winter 2027 or spring/summer 2028.
• Experience with Python, Scala, Spark and Pandas/NumPy/Scikit-learn.
• Experience with supervised/unsupervised learning and ML Ops; familiarity with LLMs or RL a plus.
• Ability to work collaboratively and take feedback from stakeholders.

Mansioni

• Develop and deploy large-scale machine learning systems that drive significant business value across various domains.
• Engage in end-to-end process of designing, training, improving, and launching ML models.
• Write production-scale ML models that will be deployed to enable economic infrastructure access globally.
• Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.
• Rapidly learn new technologies and approaches, and communicate status effectively.

Conoscenze

Python

Scala

Spark

Pandas

NumPy

Scikit-learn

ML concepts

MLOps

LLMs

Reinforcement Learning

Formazione

Master's degree (CS/ML)

Descrizione del lavoro

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g.

fraud detection, enhanced support, and predicting user behavior.