推荐大模型算法工程师-番茄
Core
Designing and optimizing large-scale recommendation systems and integrating LLMs for generative recommendation paradigms in novel, short drama, and audio content.
Role type
Senior IC machine-learning engineer (recommendation & LLM)
Builds
Large-scale recommendation models and generative recommendation systems for content ecosystems
Domain
Internet / Recommendation Systems / Large Language Models
Deliverable
production ML models
Required skills
Machine learning fundamentals, algorithm design, data structures, LLM integration, model scaling, generative modeling
Preferred skills
Publications in top-tier conferences (KDD, SIGIR, RecSys, ACL, NeurIPS), experience in search/ad recommendation large models
Technologies
LLMs, scaling architectures, reward models, encoder-decoder architectures
Responsibilities
Design high-ROI model structures, optimize training and inference compute utilization, align LLM outputs with downstream recommendation models, implement generative recommendation replacing traditional models
