Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse Stripe to accept payments grow their revenue and accelerate new business opportunities. Our mission is to increase the GDP of the internet and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyones reach while doing the most important work of your career.
Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. Were an end-to-end team going from ideas to models to shipping in production. You can learn more about our teams work from this recent talk.
As a machine learning engineer you will be responsible for analyzing opportunities proposing ideas training & evaluating ML models running experiments and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community.
Our team operates fluidly and here are some problems you may tackle:
And in the process you will:
We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines building ML models and deploying them to production even if it involves making substantial changes to backend code. You are comfortable with ambiguity love to take initiative and have a bias towards action.
Required Experience:
IC
Machine Learning Engineer • Toronto, Ontario, Canada
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