Internship in Agentic AI
Facing the challenges of our time
Help us grow and be more impactful! We are looking for a passionate intern in Agentic AI. The internship duration is minimum 6 months. For this position the enrollment in a Computer Science or Engineering program at ETH is mandatory.
The Predictive Analytics group is offering an internship focused on exploring how effectively LLM-powered agents can perform data analysis tasks using both real customer data and synthetic datasets.
Your mission
You will work closely with our PhD student, who is affiliated with the Computer Science Department at ETH Zurich. For highly motivated students, the internship may lead to a publication at a top-tier conference such as ICML, NeurIPS, ICLR, or AAAI. Enrollment in a Computer Science or Engineering program at ETH is mandatory.
Your responsibilities
- Contribute to the development of an AI agent designed to analyze and interpret industrial data for our clients.
- Design and implement proof-of-concept solutions and demonstrators for various predictive analytics projects in collaboration with the team based in Alpnach.
- Engage in academic research activities together with our PhD student, advancing knowledge and innovation in the field of LLM and Agentic AI.
- Assist the team in various tasks.
Your profile
Bachelor's or Master's in Computer Science, Neuroinformatics, Engineering, Robotics, or a related field with a focus on Artificial Intelligence and Deep Learning.
Know-how Requirements:
- Ability to work on-site in Alpnach, Switzerland, at least three times a week.
- Strong proficiency in Python.
- Enrollment in a Computer Science or Engineering program at ETH.
- Familiarity with Git and Linux (Bash, SSH, etc.)
- Theoretical knowledge of machine learning (e.g., completion of Introduction to Machine Learning or equivalent)
- Strong background in Computer Science
- Demonstrated research experience
- Large Language Models (LLMs) or computer vision
- Proficiency in Python
- Strong English-speaking skills required, German speaking skills a plus
Preferred qualifications (one or more):
- Demonstrated experience in building and deploying actively used applications.
- Proven experience with agentic applications.
- Research experience in machine learning or computer vision (e.g., publications).
- Experience with customer-facing tasks (presentations, slides, emails).
- German language proficiency (C1).
Interpersonal skills
- Driven and motivated
- Good communication skills
- Highly collaborative
- Flexible and adaptable thinking / operating style
Working@CSEM means
- Being part of a passionate community.
- Incredible flexibility, attractive working conditions, and great opportunities of development.
- Benefit from a management style based on trust & feedback and that favors a work-life balance.