Remote Engineering Lead

Accountabilities:

• Lead a senior applied science and ML engineering team focused on foundational personalization capabilities.
• Set the vision and roadmap for shared reward models and entity/metadata libraries.
• Prioritize investments that create leverage across recommendations, search, and messaging.

Requirements:

• Experience leading applied ML or ML engineering teams for large-scale personalization.
• Strong background in applied ML, recommender systems, and optimization strategies.
• Proven record of driving horizontal ML projects measured by team adoption.

Responsibilities:

• Design and evolve APIs and integration patterns for shared components.
• Extend reward models to new content types and surfaces.
• Implement and optimize utility modeling layers for balancing engagement.