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AI for Science Engineer – Zürich | JobRevolt

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The ETH AI Center is one of the largest AI centers in Europe with over 130 Professors from all 16 departments of ETH Zurich and over 1500 associated PhD students & post-docs. As AI for Science Engineer you build frontier AI systems that help researchers across ETH accelerate their research. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan and orchestrate simulations and experiments, curate data, evaluate models, or chain domain-specific tools.

Aufgaben

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
Make what the system does inspectable: traceable runs, reproducible results, and interfaces that let researchers understand and steer the work
Support research teams with data preparation and curation, and help them optimize, specialize, and deploy models — 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 that lower the barrier for others to build on
Stay at the frontier of agentic AI: evaluate emerging frameworks, prototype new patterns, advise research teams
Contribute to teaching and student projects

Profil

Doctorate in computer science or computational discipline, or master's degree with strong relevant experience
Experience building and deploying agentic or LLM-based systems end to end — typically 1–3 years of relevant experience
Strong software and systems engineering skills: services, APIs, data pipelines, containers, CI/CD
Hands-on experience with modern AI/ML tooling (LLM APIs, agent frameworks, RAG pipelines, PyTorch, HuggingFace) and 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 scientific computing workflows (open-source contributions a plus)
Effective communicator who bridges researchers and engineers — proactive, delivery-oriented, collaborative
Fluency in English

Rahmenbedingungen

Location: Zurich, Switzerland
Contact for questions: Arnout Devos (no applications)
Applications: Online application portal only (not email or postal services)
Required documents: Resume, cover letter, portfolio or project samples (if available)

Benefits

Family-friendly employer with excellent working conditions
Exciting working environment with cultural diversity
Work at the forefront of AI research in Europe with leading faculty and global partners

AI for Science Engineer

Über den Job

Über den Job

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