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 80M+ 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 global search
Domain
Global search, consumer technology, 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 engineering, model monitoring
Preferred skills
Auto-research paradigm, cross-feature interactions, embedding optimization, vector databases
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; lead feature engineering and model architecture innovation; ensure production reliability via drift and latency monitoring; collaborate with backend engineers and product managers; mentor junior data scientists
Seniority
Senior, hands-on IC
