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 consumer search
Domain
Global e-commerce / Food delivery / Search ranking
Deliverable
production ML models
Required skills
Deep learning ranking architectures (DCN-V2, MMoE, Two-Tower), Learning to Rank (LTR), 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, mentoring
Technologies
PyTorch, TensorFlow, scikit-learn, dbt, GCP, AWS, PySpark, Scala, Metaflow
Responsibilities
Own the full lifecycle of ranking models from 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; Collaborate with backend engineers and product managers; Mentor junior data scientists
Seniority
Senior, hands-on IC
