CareerPlan

时光算法-高级工程师

Beijing, ChinaFull-time2026-11-04 → 2026-11-10

Core

Design and implement algorithm solutions for pre-hospital emergency, disaster warning, and elderly care technology scenarios, optimizing LLM, multimodal models, and agents.

Role type

Senior Machine Learning Engineer (LLM & Multimodal)

Builds

Production-ready AI models and intelligent agents for emergency and elderly care applications

Domain

Healthcare, Disaster Management, Elderly Care Technology

Deliverable

production ML models

Required skills

Machine learning, Deep learning, LLM fine-tuning, Multimodal model development, Agent design, Automated evaluation, PyTorch, Data engineering

Preferred skills

GIS, Disaster reduction, Medical health, Agentic RL, Open source contributions, High-level papers

Technologies

PyTorch, LLM, Multimodal models, Agents

Responsibilities

Design and implement algorithm solutions for emergency and elderly care scenarios; Optimize LLM, multimodal models, and agents including fine-tuning and tool use; Build evaluation benchmarks and automated testing capabilities; Collaborate with product and engineering teams to deploy and optimize algorithms.

Seniority

Senior, hands-on IC