Top AI & Machine Learning Jobs in Seattle, WA

Analyze product, customer, and risk data to guide Support and Risk Operations decisions. Define metrics, forecasting and staffing models, evaluate experiments and risk policies, monitor bias and model performance, and build scalable measurement frameworks. Use AI tools and agent workflows to improve analytical efficiency. Partner with product, engineering, risk, and business stakeholders, communicate insights, provide technical leadership, mentor data scientists, and contribute to hiring.

As a Staff Machine Learning Engineer, you'll enhance credit products through advanced modeling techniques, data analysis, and ML operations, supporting robust decision-making processes.

Lead end-to-end data science for Cash App Lending: define measurement frameworks, run experiments, evaluate model and policy performance, use AI tools to accelerate analysis, partner with product, engineering, and risk, and mentor junior data scientists to drive product and risk decisions.

The Staff Machine Learning Engineer will lead ML initiatives, partnering with multiple teams to enhance customer support through AI-driven solutions, focusing on conversational agents and research in chatbot architectures.