PhD Machine Learning Engineer Internship at Stripe
3 weeks ago
Stripe's Applied ML organization is seeking a talented PhD machine learning engineer to contribute to critical projects that directly enhance Stripe's suite of products. This internship provides a unique opportunity to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.
Responsibilities
Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving, and launching machine learning models. Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.
Requirements
We're looking for someone with a deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field. Practical experience with programming and machine learning is also required, evidenced by projects, classwork, or research. Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning is beneficial. Additionally, the ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders, is essential. A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently is also required.
What We Offer
At Stripe, you'll have the opportunity to work on theoretical projects that make a tangible impact on the world's economic infrastructure. You'll be part of a collaborative team that values feedback and proactively seeks solutions to challenges. We offer a dynamic and fast-paced work environment that encourages learning and growth. If you're passionate about machine learning and eager to contribute to a mission-driven organization, we encourage you to apply for this internship opportunity.
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