Senior Data Scientist - (Global Search, Consumer)
Core
Design, build, and productionalize deep neural ranking models (DCN-V2, MMoE, Two-Tower) for a global search platform serving 80 million daily searches across 60+ countries.
Role type
Senior IC machine-learning engineer (search ranking)
Builds
Deep learning ranking models and agentic ML research pipelines for consumer search
Domain
E-commerce / Global Search / Deep Learning
Deliverable
production ML models
Required skills
Deep learning ranking architectures (DCN-V2, MMoE, Two-Tower), LLM coding agents (Claude Code, Gemini), Python, PyTorch, TensorFlow, SQL, MLOps, feature stores, vector databases
Preferred skills
Agentic development workflows, auto-research paradigm, cross-functional collaboration
Technologies
PyTorch, TensorFlow, dbt, PySpark, Scala, GCP, AWS, Metaflow
Responsibilities
Own the full lifecycle of ranking models from offline experimentation to production monitoring; Drive agentic ML research using LLM coding agents for autonomous experiment generation; Lead feature engineering and model architecture innovation; Ensure production reliability via drift and latency monitoring; Mentor junior data scientists
Seniority
Senior, hands-on IC
