Principal Engineer, ML

This Principal ML Engineer role leads the design and implementation of advanced machine learning models and systems. The role requires deep expertise in ML frameworks and algorithms, and involves driving technical strategy and mentoring teams to solve complex business problems.

Leads a team of machine learning engineers to design, build, and deploy ML models and pipelines. Ensures technical excellence, mentors team members, and collaborates with product and engineering to deliver AI solutions.

This principal MLOps engineer role leads the design and implementation of machine learning infrastructure and pipelines, ensuring scalable model deployment, monitoring, and governance. The engineer collaborates with data scientists and engineers to operationalize ML models in production.

The Principal Machine Learning Engineer designs and implements scalable ML models and infrastructure to power ESPN's data-driven products and personalization. This role leads technical strategy, establishes best practices, and collaborates with data scientists and engineers to deploy production-grade models.

This role manages customer service operations for the Taiwan team, overseeing daily operations and team performance. It involves shift-based work and requires strong leadership and customer service skills to ensure high-quality support.

This program management specialist role focuses on customer service (CS) program management for Taiwan operations. The role involves managing CS programs, improving service quality, and coordinating with cross-functional teams.

This role handles external and internal complaints at headquarters, managing resolution processes and communication. Requires strong problem-solving and communication skills.