Lead Machine Learning Engineer & Lead Systems AI Engineer
ETH Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
6 Tage
XR Audio Face Tracking ML Software Engineer
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
8 Tage
Product Manager Synchrotron
DECTRIS —Baden, AG
- 100%
- Homeoffice
- Management-Erfahrung
- Doktorat
- Englisch
Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Python
Direkt bewerben
Software Engineer, Data Infrastructure & Acquisition - Zurich, Switzerland
Speechify —Zürich, ZH
- Homeoffice
- Doktorat
- Master
- Scripting
11 Tage
PhD student “Modeling of water storage in the landscape for demand-oriented multi-purpose use” (f/m/d)
Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL —Birmensdorf, ZH
- 100%
- Datenanalyse
- Englisch
- Forschungserfahrung
Engagement Manager, EU
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- Organisationstalent
- Budgetierung
Earth Systems Data Manager (Petabyte-Scale Infrastructure)
ETH Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Forschungserfahrung
- Qualitätskontrolle
Office Manager & IT-Asset Specialist (m/f/d)
Bruker —Fällanden, ZH
- Gastgewerbe
- Microsoft Excel
- Englisch
SNSF Starting Grant Applicants at the Department of Astrophysics
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Bachelor
- Weiterbildungen
On-Site IT Support Specialist
Celerion —Fehraltorf, ZH
- 100%
- Oracle
- Kundendienst
- Laborerfahrung
Direkt bewerben
Mid-Senior Level Options Trader
G-20 Group —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Senior Software Engineer, Windows/Desktop Applications - Zurich, Switzerland
Speechify —Zürich, ZH
- Homeoffice
- Doktorat
- Windows
- C++
11 Tage
R&D Transformer Service Operations domain expert (f/m/d)
Hitachi —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Master
- Kommunikationsfähigkeit

Discover related jobs

Based on your search for research scientist jobs.

Learning & Development Programme Manager (80-100%, f/m/d)
Julius Baer —Zürich, ZH
Be the key contact person for your programmes or initiatives (target group and all involved stakeholders). Act as a key sparring partner for senior business…
Associate to the Directors at ETH AI Center
ETH Zürich —Zürich, ZH
Collaborate with teams to introduce and enhance processes, such as OKR (Objectives and Key Results) reviews, to optimize efficiency and performance.

Ich möchte aktuelle Job-E-Mails für Stellen als research scientist in zürich zh erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

research scientist jobs near zürich zh

Jobs als Engagement Manager in Zürich, ZH

Jobs als Lead Machine Learning Engineer in Zürich, ZH

Jobs als Software Engineer in Zürich, ZH

Jobs als Senior Software Engineer in Zürich, ZH

Jobs als Data Manager in Zürich, ZH

Jobs als R&D Engineer in Zürich, ZH

Jobs als Research Engineer in Zürich, ZH

Jobs als Logistics Manager in Zürich, Zh

Jobs als Intern Product Manager in Zürich, Zh

Jobs als Engagement Manager in Genf, Ge

Jobs als Engagement Manager in Genève, Ge

Jobs als Assistant Manager in Luzern, Lu

Jobs als Bank Relationship Manager in Zürich, Zh

Jobs als Infrastructure Engineer in Zürich, Zh

Jobs als Embedded Software Engineer in Zug, Zg

Jobs als Senior Network Engineer in Zürich, Zh

Jobs als Software Engineer in Bern, Be

Jobs als Software Engineer in Locarno, Ti

Jobs als Software Engineer in Winterthur, Zh

Jobs als Software Engineer in Kanton Zug

Lead Machine Learning Engineer & Lead Systems AI Engineer

ETH Zürich -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Teilzeit | 100%
vor 6 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

Erweiterte Suche

research scientist Jobs in zürich zh

Lead Machine Learning Engineer & Lead Systems AI Engineer

XR Audio Face Tracking ML Software Engineer

Product Manager Synchrotron

Member of Technical Staff – AI Research Engineer (Image/Video Foundation Models)

Software Engineer, Data Infrastructure & Acquisition - Zurich, Switzerland

PhD student “Modeling of water storage in the landscape for demand-oriented multi-purpose use” (f/m/d)

Engagement Manager, EU

Earth Systems Data Manager (Petabyte-Scale Infrastructure)

Office Manager & IT-Asset Specialist (m/f/d)

SNSF Starting Grant Applicants at the Department of Astrophysics

On-Site IT Support Specialist

Mid-Senior Level Options Trader

Senior Software Engineer, Windows/Desktop Applications - Zurich, Switzerland

R&D Transformer Service Operations domain expert (f/m/d)

Discover related jobs

Ich möchte aktuelle Job-E-Mails für Stellen als research scientist in zürich zh erhalten

Related Searches

Weitere Job-Standorte erkunden

Lead Machine Learning Engineer & Lead Systems AI Engineer

60%-100%, Zurich, fixed-term

Project background

Job description

Profile

Workplace

Workplace

We offer

We value diversity and sustainability

Curious? So are we.

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt