Machine Learning Engineer Intern (E-Commerce Recommendation Video) - 2027 Start (PhD）
Core
Building and rewriting an industrial recommendation system for e-commerce video and image-text content on TikTok, serving hundreds of millions of users across retrieval, ranking, and blending.
Role type
PhD intern, senior IC machine learning engineer (LLM-based recommendation)
Builds
End-to-end recommendation stack for short-video, livestream, and product scenarios
Domain
E-commerce, Large Language Models (LLMs), Recommendation Systems
Deliverable
production ML models
Required skills
LLMs/foundation models, NLP, CV, RL, recommendation/search/ads, CUDA/Triton kernel development, distributed training, high-performance inference deployment, problem decomposition
Preferred skills
Publications at top venues (KDD, SIGIR, RecSys, etc.), agent-system construction, LLM post-training (SFT/RLHF/DPO/GRPO), AI coding/agentic workflows
Technologies
LLMs, MLLMs, RQ-VAE, SID, GRPO, CUDA, Triton, KV caching, speculative decoding
Responsibilities
Scale recommendation models to billions of parameters; build one-stage generative retrieval; inject world knowledge via reasoning models; optimize training/inference on hardware limits; rewrite R&D with coding agents; conduct original research on open problems (via careerplan.io/jobs/7694044547207268661-machine-learning-engineer-intern-e-commerce-recommendation-video-2027-start-phd-at-tiktok)
Seniority
PhD Intern, hands-on IC
