Job Application for PhD Machine Learning Engineer, Intern at Stripe

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Are you currently enrolled in a PhD program?

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We’re looking for someone with a strong fundamental understanding in a quantitative field through pursuit of a PhD degree (e.g. Computer Science, Machine Learning, Statistics, Physics, Mathematics, etc.) with the expectation of graduating no earlier than December 2027.

When do you expect to complete your PhD?

We understand the timing of a PhD can shift, so please give an approximate estimate (month and year).

Please tell us in 1-2 paragraphs about your PhD program/research and your ML experience (internship and/or academic) to date:

We’re looking for some experience in supervised learning (deep & wide networks, sequential models, Natural Language Processing, etc.), unsupervised learning (anomaly detection, reinforcement learning, clustering, etc.) and/or ML Operations (interpretability, debugging, calibration, etc.).

What ML training techniques are you familiar with? Have you trained any models?

Our interview process will assess your familiarity with training and evaluating models; we require knowledge of classical/traditional ML techniques as well as familiarity with pandas, NumPy, and scikit-learn.

Do you feel comfortable in your programming ability and shipping code into production?

Our role is applied machine learning so we need ML engineers to have solid coding capabilities in addition to ML modeling skills.

Are you planning on attending NeurIPS in person this year?

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We will be attending the NeurIPS conference in Sydney, Australia this December, so please let us know if you plan on being in attendance.

Do you have an active offer deadline or another recruiting-process deadline we should be aware of? If yes, please share the deadline date and any relevant context.

This information will only be used to help coordinate your interview process and will not be considered in evaluating your application.

We are always aiming to keep our school list inclusive of all institutions. If you do not see your University listed in the previous question, please choose "other" and let us know your school name here.

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Note that since we are capturing all of your preferences in one application (reminder - we don't need multiple applications across our US or Canadian offices), we ask you please answer all of the questions listed below regardless of your preferred work location.

Do you require visa sponsorship, now or in the future, to continue working in Canada?

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