深圳-大模型算法工程师（基座研发方向）(J101232)
Core
Develop foundational large language models (LLMs) focusing on core capabilities like coding, agentic intelligence, and reasoning, while optimizing training efficiency and data pipelines.
Role type
Senior IC machine-learning engineer (foundation model research)
Builds
Production-ready foundation models with enhanced reasoning and coding capabilities
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Large language model pre-training, fine-tuning, and reinforcement learning; sparse model architecture design; ultra-long context modeling; optimization algorithms; data deduplication and quality enhancement; synthetic data generation; algorithm innovation
Preferred skills
Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD); top-tier programming/AI competition awards; industrial-scale foundation model R&D experience
Technologies
Reinforcement learning, sparse models, optimization algorithms, synthetic data pipelines
