Machine Learning Engineer Graduate (Global E-Commerce, Conversational AI) - 2026 Start (BS/MS)
Core
Building an AI-powered conversational system to replace human agents for global e-commerce customer service, handling inquiries, disputes, and seller operations using LLMs and NLP.
Role type
Machine Learning Engineer (Graduate)
Builds
AI customer support systems, automated dispute resolution models, multilingual translation models, and seller assistance tools.
Domain
E-commerce / Conversational AI / Large Language Models
Deliverable
production ML models
Required skills
Python, C++, Go, Java, LLM post-training, fine-tuning, distillation, reinforcement learning, multilingual NLP, machine translation, distributed model training, low-latency inference, edge AI deployment
Preferred skills
Retrieval augmented generation, mixture of experts, sparse attention, inference time scaling, e-commerce policy understanding, A/B testing for response evaluation
Technologies
LLMs, NLP frameworks, distributed training systems, edge AI platforms
Responsibilities
Build and optimize AI-driven customer service models for high-volume inquiries; Implement LLM post-training strategies to reduce errors and hallucinations; Develop intelligent models for automated dispute resolution and policy compliance; Enhance AI translation capabilities for real-time multilingual interactions; Define and implement quality evaluation metrics for AI responses; Build AI-powered tools for seller assistance and store operations; Optimize large-scale model deployment for real-time performance.
Seniority
Graduate (Entry-level)
