- 地点
- 上海，中国
- 工作方式
- 现场办公
- 类型
- 实习
- 发布
- 2026-08-05
- 编号
- 26008552
职责
- 支持基于 LLM 的解决方案在测试和测量行业的开发和应用。
- 分析行业需求，为提高生产力和工具应用及程序的设计做出贡献。
- 收集、清洗、预处理和整理用于模型训练和评估的数据。
- 参与机器学习和深度学习模型的训练、调优、测试和性能评估。
- 协助识别和解决与人工智能模型实施和部署相关的技术难题。
- 准备技术文档、报告和用户指导材料。
- 与团队成员协作，确保项目高质量地按时交付。
- 不断学习和应用新兴的人工智能技术、方法和最佳实践。
- 提出能够改进解决方案、流程和团队效率的想法。
必备要求
- 目前就读于数字、计算机科学、电气工程、机械工程、物理、仪器仪表或相关科学或工程学科的本科或研究生课程。
- 精通 Python 编程。
- 了解机器学习和深度学习的基础知识，包括常用算法和模型开发概念。
- 能够支持模型训练、调优、验证和评估活动。
- 具备数据解析、数据预处理和数据质量管理的基础知识。
- 具备使用软件开发、测试和版本控制工具的经验。
- 较强的分析思维和解决问题的能力。
- 具备有效的书面和口头沟通能力。
- 具备在团队合作环境中工作的能力。
优先条件
- 熟悉大型语言模型（LLM）、生成式人工智能或自然语言处理概念。
- 了解测试和测量行业，包括常见应用、工作流程或工程要求。
- 接触过数据科学、模型评估框架或人工智能开发工具。
- 通过课程学习、研究或个人项目，积累了基于云的开发环境或人工智能相关项目的经验。
- 表现出对应用新兴技术解决现实世界工程难题的好奇心和热情。
Responsibilities
- Support the development and application of LLM-based solutions in the test and measurement industry.
- Analyze industry requirements and contribute to improving productivity and the design of tool applications and procedures.
- Collect, clean, preprocess, and organize data for model training and evaluation.
- Participate in training, tuning, testing, and performance evaluation of machine learning and deep learning models.
- Assist in identifying and resolving technical challenges related to AI model implementation and deployment.
- Prepare technical documentation, reports, and user guidance materials.
- Collaborate with team members to ensure high-quality and timely project delivery.
- Continuously learn and apply emerging AI technologies, methods, and best practices.
- Propose ideas to improve solutions, processes, and team efficiency.
Must Have
- Currently enrolled in an undergraduate or graduate program in digital, computer science, electrical engineering, mechanical engineering, physics, instrumentation, or a related science or engineering discipline.
- Proficiency in Python programming.
- Knowledge of machine learning and deep learning fundamentals, including common algorithms and model development concepts.
- Ability to support model training, tuning, validation, and evaluation activities.
- Basic knowledge of data parsing, data preprocessing, and data quality management.
- Experience with software development, testing, and version control tools.
- Strong analytical thinking and problem-solving skills.
- Effective written and verbal communication skills.
- Ability to work in a team environment.
Preferred
- Familiarity with large language models (LLMs), generative AI, or natural language processing concepts.
- Knowledge of the test and measurement industry, including common applications, workflows, or engineering requirements.
- Exposure to data science, model evaluation frameworks, or AI development tools.
- Experience with cloud-based development environments or AI-related projects through coursework, research, or personal projects.
- Demonstrated curiosity and enthusiasm for applying emerging technologies to solve real-world engineering challenges.
公司简介
艾默生（Emerson）是一家全球性的自动化技术与软件公司，成立于 1890 年，总部位于美国密苏里州圣路易斯。业务涵盖流程自动化（控制系统、阀门、测量与分析仪表）、离散自动化，以及收购 NI（美国国家仪器）后形成的测试与测量业务，服务能源、化工、电力、生命科学、半导体等行业。