Stripe - Seattle, WA
posted about 1 month ago
As a Machine Learning Engineer on the Foundation Model team at Stripe, you will play a pivotal role in transforming how users interact with our financial infrastructure platform. Our mission is to enhance user experience by automating simple tasks and assisting with more complex ones. This involves leveraging the latest advancements in large language models (LLMs) and fine-tuning our proprietary models to deliver exceptional service. You will be part of an end-to-end team that takes ideas from conception through to model deployment in production, ensuring that our solutions are not only innovative but also practical and impactful. In this role, you will be responsible for analyzing various opportunities within our systems, proposing innovative ideas, training and evaluating machine learning models, running experiments, and deploying these models into production. You will have the chance to contribute to the overall ML architecture at Stripe and engage with a broader ML community, sharing insights and learning from peers. Your work will directly influence how effectively our users can navigate and utilize Stripe's services, ultimately driving business impact and enhancing customer satisfaction. The Applied ML team operates in a dynamic environment, tackling a range of challenges such as evaluating system performance both offline and online, ensuring model quality remains high in production, and determining the effectiveness of fine-tuning LLMs. You will also explore the right open-source and in-house platforms to invest in, ensuring that our technology stack remains robust and effective.