Machine Learning Engineer - E-commerce Merchant Growth (LLM & Agentic Systems)
Core
Build LLM-powered agentic systems to drive seller growth, optimize merchant operations, and reshape how merchants grow across global e-commerce markets.
Role type
Senior Machine Learning Engineer (LLM & Agentic Systems)
Builds
Agentic systems for CRM content, automated outreach, lead scoring, merchant tiering, and pricing/promotion optimization.
Domain
E-commerce, Large-scale AI, Operations Research
Deliverable
production ML models
Required skills
Deep learning, NLP, Operations Research, Data mining, Python, PyTorch/TensorFlow, Model optimization, Algorithm design
Preferred skills
Applied LLMs, Multi-agent systems, RAG pipelines, Top-tier conference publications, E-commerce production experience
Technologies
PyTorch, TensorFlow, Python
Responsibilities
Develop and deploy deep learning and LLM-powered systems for merchant tools; Leverage e-commerce data to power agentic systems for insights and automation; Use ML models to predict seller performance and provide agent-based recommendations; Build lead-scoring models, merchant tiering algorithms, and knowledge graphs; Apply data mining to optimize pricing, promotion, and traffic allocation strategies.
Seniority
Senior, hands-on IC
