- 地点
- 上海，中国
- 类型
- 兼职
- 发布
- 2026-08-06
- 资历
- intern
- 编号
- 4036431
职责
- 设计并实现用于人工智能研究的算法工具，以及清晰的数据准备和标注工作流程。
- 进行深度学习模型研究、概念提出、原型设计和测试。
- 确保所有文件完整且格式正确，包括重要的设计规范。
必备要求
- 计算机科学、软件工程、电气工程、自动化、应用数学、数据科学、分析化学、化学计量学或相关技术领域的硕士及以上学位。
- 具备基于 Python 的数据处理和机器学习开发实践经验。
- 扎实理解机器学习或深度学习基础知识，包括模型训练、验证、测试集评估、过拟合、泛化和性能指标。
- 熟悉至少一种深度学习框架，例如 PyTorch、TensorFlow。
- 精通 C# 和 .NET 框架编程。
- 强大的软件工程能力，包括编写简洁代码、调试、模块化设计、版本控制和技术文档编写。
- 良好的分析思维能力、学习能力，以及理解色谱领域知识的意愿。
- 良好的沟通能力，能够与首席架构师、领域专家和跨职能利益相关者密切合作。
Responsibilities
- Design and implement algorithmic tools for AI research, as well as clear data preparation and annotation workflows.
- Conduct deep learning model research, concept development, prototyping, and testing.
- Ensure all documentation is complete and properly formatted, including all important design specifications.
Must Have
- Master's degree or above in Computer Science, Software Engineering, Electrical Engineering, Automation, Applied Mathematics, Data Science, Analytical Chemistry, Chemometrics, or a related technical field.
- Hands-on experience in Python-based data processing and machine learning development.
- Solid understanding of machine learning or deep learning fundamentals, including model training, validation, test set evaluation, overfitting, generalization, and performance metrics.
- Familiarity with at least one deep learning framework, such as PyTorch or TensorFlow.
- Proficiency in C# and .NET framework programming.
- Strong software engineering skills, including writing clean code, debugging, modular design, version control, and technical documentation.
- Good analytical thinking, learning ability, and willingness to understand chromatography domain knowledge.
- Good communication skills and ability to work closely with the chief architect, domain experts, and cross-functional stakeholders.
公司简介
安捷伦是生命科学、诊断和应用化学市场的领导者，为全球实验室提供仪器、服务、耗材、应用和专业知识。公司专注于食品、环境与法医、制药、诊断、化学与能源、研究等关键市场，帮助客户获得洞见。安捷伦研究实验室致力于通过突破性科学和技术推动增长，在美国加利福尼亚州圣克拉拉以及欧洲和亚洲设有研究机构。