Principal Applied Science Manager
Core
Lead and grow a team of Applied Scientists and ML Engineers to define and execute the technical vision for end-to-end recommendation systems using deep learning, LLMs, and agents.
Role type
Principal Applied Science Manager (Team Lead & Strategy)
Builds
Next-generation recommendation systems (recall, coarse ranking, fine-ranking, mixed reranking) and scalable ML infrastructure.
Domain
E-commerce/Streaming (implied by recommendation systems) + Machine Learning / AI
Deliverable
production ML models | product features | infrastructure
Required skills
Recommendation systems, ranking models, LLMs, agentic AI, deep learning, system architecture, cross-functional leadership, team management, multi-tiered distributed services, data structures, algorithms, multi-objective optimization
Preferred skills
Publications in top-tier ML/AI conferences, experience with heterogeneous signals and semantic embeddings
Technologies
PyTorch, TensorFlow, Spark, cloud-scale infrastructure
Responsibilities
Hire, coach, and develop Applied Scientists and ML Engineers; Define technical vision and strategy for recommendation systems; Oversee system architecture and scalability; Partner cross-functionally to align priorities; Mentor team and foster culture of scientific rigor; Communicate team progress to leadership and stakeholders
Seniority
Principal, hands-on IC with significant people management and strategy responsibilities
