Machine Learning Engineer, Capital Underwriting

We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment. We’re looking for someone who can bring new ideas to the table on building models able to push the state of the art at Stripe, especially within the regulatory and operational constraints of a financing business. Minimum requirements 5+ years of industry experience building and shipping ML systems in production Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark Hands-on experience in designing, training, and evaluating machine learning models Hands-on experience in productionizing and deploying models at scale Hands-on experience in orchestrating complicated data pipelines and efficiently leveraging large-scale datasets Preferred qualifications MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics) Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems Experience in adversarial domains such as Lending, Trading, Fraud Experience with Deep Learning including the latest architectures such as transformers, test-time compute, reinforcement learning