腾讯音乐阿福工作室内容运营实习生

1、医疗报告智能解读： 负责“阿福”的拍照/上传报告功能，核心解决体检单、化验单、处方单等复杂排版图片的结构化提取与医学结论分析； 2、视觉模型调优： 构建医疗文档的图文评测集（Benchmark），解决模糊拍摄、手写体识别、复杂表格对齐等长尾问题，降低模型幻觉； 3、多模态交互体验： 设计“拍一拍”后的交互流，让用户不仅看到数据，还能通过图片与阿福进行多轮问诊对话。

团队介绍： 蚂蚁集团医疗健康时序算法团队致力于通过前沿的 AI 技术与多维感知的结合，构建深度的数字化洞察体系。在这里，我们面对的是极具挑战性的海量异构时序数据。我们致力于探索时序预测、自监督表征学习及大模型（LLM）等技术的深度融合，构建精准的数字化建模方案，用技术力量服务于更广泛的用户群体。 1、长序列表征与预测： 针对高频、长周期的多源异构时序数据，研发领先的分类、回归与演化趋势预测算法，解决复杂环境下的信号去噪、异常检测及长程依赖建模挑战； 2、多维序列分析与建模： 探索多维行为数据的关联分析，构建个体状态的数字化镜像，通过算法模型驱动阿福 AI 助理生成精准的预测与行动建议； 3、全链路技术优化： 参与从感知端到云端的全链路技术布局，研究算法轻量化（量化、蒸馏）及端云协同架构，支撑模型在低功耗环境下的高效部署与实时响应。

1. Architect and implement agentic workflows that plan, reason, call tools/APIs, and coordinate with humans or other agents. 2. Select, extend, or build frameworks (e.g., LangChain, AutoGen, CrewAI, MetaGPT, LangGraph) to accelerate delivery while avoiding vendor lock-in. 3. Own the MLOps lifecycle: data collection, evaluation harnesses, safety filters, CI/CD, and observability for deployed agents. 4. Integrate enterprise systems & data sources (REST/GraphQL, Kafka, vector databases, Kubernetes) so agents can act on real business objects. 5. Mentor and review code for junior engineers; drive best practices in prompt engineering, evaluation, and secure coding. 6. Research emerging techniques (toolformer, self-reflection, role specialization) and translate findings into the product roadmap.

1. Architect and implement agentic workflows that plan, reason, call tools/APIs, and coordinate with humans or other agents. 2. Select, extend, or build frameworks (e.g., LangChain, AutoGen, CrewAI, MetaGPT, LangGraph) to accelerate delivery while avoiding vendor lock-in. 3. Own the MLOps lifecycle: data collection, evaluation harnesses, safety filters, CI/CD, and observability for deployed agents. 4. Integrate enterprise systems & data sources (REST/GraphQL, Kafka, vector databases, Kubernetes) so agents can act on real business objects. 5. Mentor and review code for junior engineers; drive best practices in prompt engineering, evaluation, and secure coding. 6. Research emerging techniques (toolformer, self-reflection, role specialization) and translate findings into the product roadmap.