Research Scientist Graduate (E-Commerce Recommendation Region) - 2027 Start

What you'll do

• Design and improve recommendation systems across retrieval, pre-ranking, ranking, and final blending.
• Develop LLM- and generative-model-powered recommendation, optimization methods, and autonomous research agents.
• Take research from prototype to production, validate it with large-scale online experiments, and share findings through publications.

What they ask for

• Completing or recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
• Strong foundations in machine learning, probability, statistics, optimization, algorithms, and data structures.
• Excellent coding skills in Python or C++ and hands-on experience with deep learning frameworks such as PyTorch.
• Research or project experience in at least one listed area, such as recommendation, LLMs, reinforcement learning, causal inference, optimization, multimodal learning, or AI agents.

Nice to have

• Completing or recently completed a Master's degree in a listed or related discipline; first-author publications at top venues or impactful open-source work.
• Experience with generative recommendation, LLM agents, AI coding tools, reinforcement learning, causal modeling, constrained optimization, or long-term user value.

Tools

Python, C++, PyTorch, LLMs

AI focus

Uses LLMs and generative models for recommendation, including generative retrieval and reasoning about user intent; develops multimodal understanding and autonomous research agents that run experiments, analyze results, and diagnose production issues.