
大模型算法工程师
Why Work at Lenovo
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This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
岗位职责:
1. 大模型算法研发与优化
负责语言模型及多模态大模型的后训练与效果调优,包括监督微调、对齐优化等;探索模型压缩、推理加速等技术,提升模型效果、鲁棒性与推理效率。
2. 智能体系统研发
负责Agent全链路能力建设,包括上下文工程、记忆管理、工具调用、复杂任务流编排及多Agent协同;构建Agent评估与可观测体系,持续优化任务完成率和交付质量。
3. 前沿技术复现与落地
跟踪LLM、Agent、多模态等方向的前沿技术,快速复现并验证其在业务场景中的可行性和落地价值。
4. 算法工程化与技术沉淀
参与方案设计、数据构建、模型训练、评估、部署及迭代优化,沉淀技术文档、实验报告和最佳实践。
岗位要求:
1. 学历与经验
硕士及以上学历,计算机、人工智能、软件工程、数学等相关专业;3年以上AI/NLP/多模态模型研发经验,有LLM或Agent项目实战经验。
2. 技术能力
精通Python,熟悉Linux开发环境,具备良好的算法实现、调试、部署及工程交付能力;
熟悉Transformer架构及主流开源大模型,了解大模型后训练、对齐优化、模型评估和推理优化流程;
深入理解Agent Loop、ReAct、ToolUse、Skills、MCP、Multi-Agent等技术范式,具备Agent Harness使用和搭建经验;
3. 综合素质
具备良好的系统设计、问题解决、跨团队协作和文档能力;关注AI前沿技术,具备较强的学习能力、产品意识和业务落地能力。
