快手QI
Introduction NA Your role and responsibilities 1. Participate in project research and analysis, collect and organize relevant data;2. Assist in market research and industry analysis, and write reports;3. Participate in customer communication and provide consultation and suggestions;4. Assist the team in completing data analysis tasks and support business decisions;5. Participate in training courses with an internship period of 2 to 6 months to enhance personal skills. Required education Bachelor's Degree Preferred education Master's Degree
Job Description: - Install equipment at customer's locations, including equipment with new features, unload components, inspect for damage, assemble, align and test. Analyze applicability, accuracy and adherence to design specifications. Recommend design changes or substitution of materials when appropriate. - Evaluate and diagnose problems and make appropriate repairs. Work with co-workers, customer & field support in isolating and solving problems. - Maintain and optimize equipment on a daily basis to enhance functionality and prevent problems. - Train customers in use and routine maintenance of equipment. Answer customer questions and assist customers in a professional manner. Act as a resource for users on routine malfunctions. Advise users of appropriate actions to correct malfunctions and may recommend changes in user procedures. - Perform administrative and coordination duties, including pass-downs, work orders, field service reports, system problem reports, and monthly reports. Prepare written technical reports on an independent basis. Provide if appropriate support and assistance to less experienced ASML or local personnel as necessary. - Should expect to spend more than 50% of the time inside the clean room working with mechanical and electrical equipment. - Can work flexibly, can accept overtime working - Have initiative to communicate with colleagues and learn from them - Can accept manager/leader’s arrangement based on company business needs
-参与Qianfan-VL多模态模型训练工作,负责图像、视频与文本模态的对齐和指令微调数据构造与清洗,模型实验 -构建优质代码数据语料库,通过检索生成结合执行环境自动验证的方式构造合成数据,通过持续预训练、强化学习等方式训练精专代码大模型 -跟进并探索前沿的模型范式,研究样本质量/数量对模型效果的影响,摸索更高效、低成本的蒸馏方案,研究RL在特定需求场景下的适用性 -深刻理解模型训练、推理的性能瓶颈,通过底层优化提升训练、推理性能 -研究方向(新增数据策略方向): 多模态大模型预训练/后训练数据清洗与合成 多模态推理场景强化 多模态教育、解题场景增强 复杂指令遵循 Agent场景数据构建 复杂场景下的代码提升