Senior Data Scientist - (Global Search, Consumer)
Core
Own deep learning ranking models and lead agentic ML research using LLM coding agents to improve search ranking for millions of daily users across 60+ countries.
Role type
Senior IC machine-learning engineer (search ranking & agentic research)
Builds
Deep neural ranking models (DCN-V2, MMoE, Two-Tower) and autonomous experiment pipelines for global search services
Domain
E-commerce / Food delivery / Search ranking
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, GCP/AWS, PySpark, MLOps, feature stores, vector databases
Preferred skills
Learning to Rank (LTR) methods, embedding-based retrieval, cross-functional collaboration, mentoring
Technologies
PyTorch, TensorFlow, scikit-learn, dbt, GCP, AWS, PySpark, Scala, Metaflow, vector databases
Responsibilities
Design and productionize deep neural ranking models for high-throughput serving; lead agentic ML research using LLM coding agents to run overnight experiments; improve ranker quality via feature engineering and model architecture; monitor production models for drift and latency; partner with engineers and PMs to deliver improvements; mentor junior data scientists
Seniority
Senior, hands-on IC
