Top AI & Machine Learning Jobs in Seattle, WA

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

The Applied Scientist will develop quantitative models for decision-making under uncertainty, focusing on pricing, demand modeling, and optimization. They will collaborate with various teams to implement these models in production processes.

The Applied Scientist will push the boundaries of applied AI, working on ML problems, developing models, and improving pricing systems.

The role involves designing and implementing ML systems for pricing, managing data pipelines, and improving model performance and reliability. It requires collaboration with cross-functional teams and mentorship for engineers.

Lead analytical initiatives in pricing strategy through statistical models, A/B testing, and data-driven insights to improve business outcomes.