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Lead Machine Learning Engineer & Lead Systems AI Engineer

ETH Zürich -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Teilzeit | 100%
vor 7 Tagen

Qualifikationen

Doktorat
Englisch
Google Cloud Platform
Forschungserfahrung
Master
Projektmanagement
Mentoring
SaaS
Führungserfahrung
Kommunikationsfähigkeit
Deutsch

Vollständige Stellenbeschreibung

Lead Machine Learning Engineer & Lead Systems AI Engineer

60%-100%, Zurich, fixed-term

The ETH Zürich Geothermal Energy & Geofluids (GEG) Group investigates subsurface reactive fluid and geothermal energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies to address societal needs. Subsurface fluid injection or extraction induces changes in geologic reservoir properties due to thermo-hydro-mechanical-chemical-biological (THMCB) coupled processes. Advancing the understanding of these processes enables the development of subsurface energy extraction and fluid (e.g. CO2 / H2) and energy storage technologies as well as monitoring technologies thereof. To develop and improve such subsurface technologies and associated monitoring solutions, the GEG group is developing and employing numerical simulators, conducting field analyses, and conducting reactive transport experiments in its reactive transport laboratory. This laboratory currently houses an X-ray Computed Tomography (XRCT) scanner, a laser lab (Particle Image Velocimetry (PIV), Laser-Induced Fluorescence (LIF)), and soon a multi-nuclide MRI scanner.

Project background

As Lead Engineer, you will shape the technical foundation of the GEG group’s AI, data, and cloud activities and take end-to-end ownership of complex, multi-year initiatives. We are looking for applicants with a strong background in agentic AI, cloud architecture and software engineering, data engineering and governance, AI and machine learning applications.

Job description

Agentic AI — Design, build and operate production-grade AI agent systems, covering the full lifecycle from cognitive architecture through observability, telemetry and rigorous testing and evaluation protocols.
Cloud architecture & software engineering — Conceive, build and operate complex, scalable cloud architectures composed of distributed services and microservices. Drive enterprise-grade software development and take responsibility for the full Software Development Lifecycle (SDLC), from architectural design through deployment and operation.
Data engineering & governance — Design and operate end-to-end data pipelines and data products for structured and unstructured data, including geospatial data where relevant. Establish and maintain solid data governance standards to ensure quality, security and compliance across the data landscape.
AI & machine learning applications — Apply machine learning and AI methods to real-world problems and bring them from prototype into reliable production use.
Technical leadership — Provide technical direction to GEG (and external) scientists and engineers, set architectural standards, mentor team members and orchestrate collaboration across multiple teams and stakeholders.
Project management & strategic delivery — Steer multi-year strategic projects, including roadmap design and budget responsibility; deliver complex, cross-functional initiatives on time and within scope.

Profile

You are a lead engineer who combines a strong scientific foundation with substantial hands-on experience in AI, data, and cloud engineering, and who is ready to take both technical and organizational ownership of complex initiatives. The successful candidate brings:

A Master's degree or PhD in (Geo-)Physics, Mathematics, Computer Science or a closely related quantitative discipline
5+ years of professional experience in software engineering, data engineering or a comparable technical role
Proven experience in technical and people leadership, including guiding engineers, setting architectural direction, establishing engineering standards and mentoring team members
Solid project management skills, including roadmap design, budget responsibility and the orchestration of cross-functional collaboration across multiple teams and stakeholders
Hands-on experience in the development and operation of AI agents, including the surrounding tooling, orchestration, observability, evaluation, and monitoring in production
Strong practical experience applying machine learning and AI methods to real-world problems, from prototyping through deployment
Strongly preferred: deep, hands-on expertise in cloud-native development and operations on Google Cloud Platform (GCP), including the design and operation of complex architectures composed of distributed services and microservices
Substantial experience in data engineering, including:
- design of data models for structured and unstructured data
- implementation and operation of robust, scalable data pipelines
- establishing and maintaining data governance standards (quality, security, compliance)
Excellent communication skills in English; German is a plus

Desirable skills and experiences

Practical experience in the modeling, processing, and analysis of geospatial data
Familiarity with numerical simulations and scientific computing workflows
Experience working at the interface between research and software development
Familiarity with MLOps practices, infrastructure as code and modern CI/CD workflows
Contributions to open-source scientific, AI or data engineering projects
Familiarity with SaaS implementation

Workplace

We offer

We provide a dynamic and exciting work environment with cutting-edge infrastructure. The GEG Group values an open and inclusive group culture. The position is 60-100% with a competitive salary according to ETH Zurich standards. The position is for two years with the potential for annual extensions and the expectation of long-term employment in the GEG group. The anticipated start date is 1st of September, 2026, or as soon as possible thereafter.

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application, including:

Cover letter describing your motivation, experience and qualification for the position
CV
Diplomas and relevant work certificates
If readily available, professional reference letters

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We will start reviewing applications immediately. You can find more information about our group on geg.ethz.ch. If you have any question that is not covered here feel free to reach out to Dr. Dieter Werthmüller.

For recruitment services the GTC of ETH Zurich Zurich apply.

Jetzt bewerben

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Lead Machine Learning Engineer & Lead Systems AI Engineer

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