Job Description
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 CSEM mission and values We believe in a future that is imagined, shared, and created TOGETHER. At CSEM, we don’t just innovate, we envision technologies that shape tomorrow. Since 1984, our purpose has remained constant: to harness science and technology for the benefit of society. Today, with over 650 people across Switzerland, we remain committed to our mission: to develop and transfer world-class solutions in digital technologies, precision manufacturing, and sustainable energy systems. In doing so, we empower Swiss industry to innovate and remain competitive. Our strength is the excellence of our people. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees. We are A unique place between research and industry at the cutting edge of new technologies An innovative, non-profit, and employee-driven company A dynamic, multidisciplinary, and multicultural environment A solar team focused on enabling solutions to energy challenges for a sustainable world 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. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page. Preference will be given to professionals applying directly.
