Tech Lead Research Scientist - Recommendation Foundation Models (Global E-commerce)
Core
Building shared foundation models for Global E-commerce using LLMs/VLMs, multimodal understanding, and reinforcement learning to create recommendation agents that understand user intent.
Role type
Senior IC research scientist (LLM/recommendation) (via careerplan.io/jobs/7694031070501685557-tech-lead-research-scientist-recommendation-foundation-models-global-e-commerce-at-tiktok)
Builds
Production recommendation systems and foundation models for global e-commerce
Domain
E-commerce, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
LLMs, foundation models, generative recommendation, deep learning, reinforcement learning, multimodal understanding, semantic tokenization, model deployment, rigorous evaluation
Preferred skills
research roadmap setting, shared modeling platforms, preference optimization, generative retrieval, long-sequence user modeling, efficient training and inference
Technologies
LLMs, VLMs, reinforcement learning frameworks
Responsibilities
Define modeling strategy and lead data, architecture, pre-training, mid-training, and post-training through deployment; model user behavior and intent to improve retrieval, ranking, and end-to-end generative recommendation; build multimodal representations and semantic tokenizers; establish rigorous evaluations and experiments; guide model and system design and mentor colleagues
