Senior Machine Learning Engineer: Search Quality
Core
Building systems to measure and improve e-commerce search relevance for global retailers using fine-tuned LLMs, real-time models, and offline analysis.
Role type
Senior Machine Learning Engineer (Search Quality)
Builds
Relevance evaluation pipelines, real-time reranking/filtering systems, automated quality monitoring, and agentic insight systems.
Domain
E-commerce, Search, Information Retrieval, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
LLM fine-tuning, search/recommendation systems, Python, PyTorch, SQL, data orchestration (Spark, Airflow), A/B testing, model evaluation frameworks
Preferred skills
Experience scaling LLM deployments, cross-functional collaboration
Technologies
LLMs, PyTorch, Spark, Airflow, SQL
Responsibilities
Fine-tune models to assess relevance and align with user behavior; implement real-time reranking and signal computation; build pipelines for quality monitoring and degradation detection; design and run A/B tests to validate model impact.
Seniority
Senior, hands-on IC
