Senior Machine Learning Engineer
Core
Build and scale advanced AI-powered search and personalization systems, transforming ML models into high-performance production systems for global search interactions.
Role type
Senior Machine Learning Engineer (Search & Personalization)
Builds
Real-time search infrastructure, query understanding systems, large-scale data pipelines, and LLM applications for product discovery.
Domain
E-commerce / Search / Large Language Models
Deliverable
production ML models
Required skills
Python, Go, Java, PyTorch, TensorFlow, AWS, GCP, Search technologies (ranking, relevance, autocomplete), Deep learning, Data pipeline engineering, Model deployment, System optimization
Preferred skills
Elasticsearch, Solr, Milvus, Qdrant, Vector search, Evaluation frameworks, Explainability solutions
Responsibilities
Design and deploy ML components in real-time search serving systems; Build query-time ML capabilities for search understanding; Develop and scale ML/LLM data pipelines; Optimize models across merchants and markets; Build online features and model-serving infrastructure; Establish offline evaluation frameworks and rollout processes; Improve observability and monitoring; Collaborate on integrating relevance models; Analyze performance and implement improvements.
Seniority
Senior, hands-on IC
