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

What you'll do

• Design and improve recommendation systems across shoppable videos, LIVE streams, and products; take research from prototype to production and validate it through online experiments.
• Develop generative and LLM-powered recommendations, reinforcement-learning and causal optimization methods, and autonomous research agents.
• Model shoppers’ long-term value, retention, repurchase, attribution, and exploration; share findings through publications.

What they ask for

• Completing or recently completed a PhD 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++, with hands-on experience using deep learning frameworks such as PyTorch.
• Research or project experience in at least one listed area, and ability to frame open-ended problems precisely and drive them to measurable results.

Nice to have

• First-author publications at top venues or impactful open-source work; experience with generative recommendation, LLM4Rec, or LLM post-training.
• Experience building LLM agents, automating research workflows, or shipping ML models and running large-scale online experiments.

Tools

Python, C++, PyTorch, LLMs, SFT, DPO, GRPO

AI focus

Build LLM- and generative-model-powered recommendations and autonomous research agents that run experiments, tune models, and diagnose production issues.