Linda Bates Email and Phone Number

Lead and oversee teams specializing in computer vision, sensor fusion, and machine learning to identify and present significant events to customers. Create, implement, maintain, and enhance AI solutions both on devices and in the cloud, collaborating closely with full-stack, firmware, and platform teams. Direct engineering teams in developing ML infrastructure to scale hybrid cloud-edge AI products. Drive long-term strategic planning and establish scalable execution processes.

Create tools, workflows, and A/B tests to optimize model training, inference, deployment, and monitoring. Develop a library for model monitoring and observability, as well as a retraining pipeline for apparel recommendation systems, including features like 'Complete the Look,' 'View Similar,' and 'Visual Search.' Handle feature and data generation, machine learning model training and deployment, and conduct both offline and online evaluations. Work on backend engineering for search, ranking, rules, and recommendation engines for generating complementary outfit boards.

Create and implement cloud-based microservices for data collection, REST APIs to deliver Data as a Service, and a framework for automated data quality checks across pipelines. Maintain and stabilize current data pipelines and infrastructure to ensure timely, high-quality, and accurate data. Analyze, enhance, develop, deploy, and contribute to overall product requirements. Define and improve the release process and manage pipeline changes. Collaborate with peer teams to support shared deliverables.