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The ETH AI Center is one of the largest AI centers in Europe, bringing together over 130 Professors from all 16 departments of ETH Zurich and more than 1500 associated PhD students and post-docs. The mission is to foster interdisciplinary AI research and pave the way from science to society. As an AI for Science Engineer, you will build frontier AI systems to help researchers across ETH accelerate their research with advanced AI solutions.

Tasks

  • Partner with research labs across ETH to identify high-impact use cases for agentic AI and co-develop novel pipelines and tools.
  • Build planning and orchestration components that turn research goals into executable workflows under constraints such as cost, latency, and fidelity, adapting as new results come in.
  • Ensure system actions are inspectable, with traceable runs, reproducible results, and interfaces that allow researchers to understand and steer the work.
  • Support research teams with data preparation and curation, and assist in optimizing, specializing, and deploying models, including fine-tuning, distillation, quantization, and efficient inference.
  • Contribute to the evaluation and benchmarking of AI systems on scientific tasks, including open and closed frontier AI models.
  • Develop and open-source reusable recipes, reference architectures, and templates to lower the barrier for others to build on.
  • Stay at the frontier of agentic AI by evaluating emerging frameworks, prototyping new patterns, and advising research teams.
  • Contribute to teaching and student projects.

Requirements

  • Preferably a doctorate in computer science or a computational discipline; a master's degree with strong relevant experience is equally welcome.
  • Ability to engage with researchers on their own terms.
  • Experience building and deploying agentic or LLM-based systems end to end, not only using them, typically 1–3 years of relevant experience; exceptional recent graduates are encouraged to apply.
  • Strong software and systems engineering skills, including services, APIs, data pipelines, containers, and CI/CD.
  • Hands-on experience with modern AI/ML tooling such as LLM APIs, agent frameworks, RAG pipelines, PyTorch, HuggingFace, and with model optimization and efficient inference.
  • Experience with GPU computing and high-performance or distributed computing environments.
  • Exposure to planning, scheduling, workflow engines, or reasoning systems, and to scientific computing workflows is an advantage; open-source contributions are a strong plus.
  • Effective communicator who bridges researchers and engineers, proactive, delivery-oriented, and keen to enable others to do their best work.
  • Fluency in English.

Benefits

  • Work at the forefront of AI research in Europe, collaborating with leading faculty, global partners, and a rapidly growing ecosystem in Zurich.
  • Family-friendly employer with excellent working conditions.
  • Exciting working environment, cultural diversity, and attractive offers and benefits.
  • Inclusive culture that promotes equality of opportunity, values diversity, and nurtures a respectful working and learning environment.
  • Commitment to sustainability and working towards a climate-neutral future.
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Über uns
Die ETH Zürich ist eine technisch-naturwissenschaftliche Hochschule des Bundes mit Sitz in Zürich. Wir betreiben Lehre, Forschung und Wissenstransfer in Bereichen wie Ingenieurwissenschaften, Naturwissenschaften, Architektur, Mathematik, Informatik, Management sowie Sozial- und Geisteswissenschaften. Unsere Ausbildung umfasst Bachelor-, Master-, Doktorats- und Weiterbildungsangebote und ist eng mit internationaler Spitzenforschung verbunden. Als Teil des ETH-Bereichs entwickeln wir wissenschaftliche Grundlagen, Technologien und Lösungen für Gesellschaft, Wirtschaft und globale Herausforderungen.
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