实习岗位详情

Intern_AI/ML Software Eng/AI/M
 招聘时间
即日起 至 2026-12-31
 招聘单位
梅赛德斯-奔驰
 所在地区
北京
 工作地点
北京市/北京市/朝阳区
 学历要求
本科
 实习时长
每周5天,每天6小时
 职责描述
[6 months, 4-5 days/week]

Name of Project: AI/ML Software Engineer

Objectives:
As an AI/ML Intern, you'll have the exciting opportunity to contribute to the future of Mercedes-Benz in China by actively supporting AI innovation. You'll assist in building innovative solutions, help drive rapid prototypes, and gain hands-on experience in scaling AI technologies. You will contribute to the development and delivery of data-driven and AI-powered solutions that enhance organizational efficiencies and delight our customers.

Main Tasks:
1. Developing and deploying AI/ML models for enterprise applications (25%)
2. Contributing to intelligent assistant solutions (25%)
3. Integrating AI solutions (25%)
4. Ensuring knowledge transfer (15%)
5. Exploring new frontiers (10%)

Learning Opportunities:
- Impactful Projects: Work on real-world challenges by joining aftersales logistics IT rollout projects, leveraging AI to optimize processes and drive smart implementation.
- Mentorship: Learn from leading experts in AI/ML and the automotive industry.
- Dynamic Environment: Be part of a diverse, innovative, and collaborative team.
- Professional Development: Gain hands-on experience with cutting-edge technologies and methodologies.
- Networking Opportunities: Connect with professionals across various departments within Mercedes-Benz.

Key Qualifications:
[Required:]
- Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.
- Basic understanding of machine learning concepts, including supervised/unsupervised learning and generative models
- Foundational knowledge of statistics and data analysis
- Basic understanding of software development principles, data structures, algorithms, and design patterns.
- Proficiency in at least one programming language (Python preferred).
- Experience in building or experimenting with AI agents, including prompt design, tool integration, or orchestration frameworks
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Interest in applying AI/ML to real-world business scenarios such as process optimization, enterprise systems (e.g., SAP), or supply chain

[Preferred:]
- Exposure to LLM application development, including RAG, embeddings, prompt engineering, or fine-tuning
- Familiarity with frameworks such as LangChain, Dify, Hugging Face, or similar
- Experience with TypeScript / Node.js
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Familiarity with other programming languages (e.g., Java, Scala).
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