Machine Learning Engineer for Climate and Weather Forecasting Applications (m/f)
Federal Office of Meteorology and Climatology MeteoSwiss · Zurich Airport or Locarno, Zürich, Switzerland
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
**Zurich Airport or Locarno (and working from home) \| 80-100%**
****This is how you can contribute****
* Drive innovation by evaluating and prototyping emerging ML and MLOps technologies through hands-on proof of concepts
* Drive the integration and operationalization of a state-of-the-art ML weather forecasting system within MeteoSwiss and the Digital Europe Programme (DEP) Destination Earth, bringing Anemoi-based models to production readiness and benchmarking them across leading EuroHPC supercomputing centres
* Co-develop new forecasting approaches alongside data scientists and meteorologists at MeteoSwiss and partner institutions across Europe
* Build and evolve the ML tooling, services, and workflows that underpin reliable, production-grade forecasting systems in cloud and high-performance computing environments such as the Swiss National Supercomputer Centre (CSCS)
****This makes you unique****
* University degree (at least ISCED 7) in computer science, applied mathematics, data science or a related field
* Experience with MLOps, container technologies, as well as cloud platforms and HPC environments (e.g. Docker, Kubernetes, Terraform, SLURM)
* Very good programming skills in Python and familiarity with the PyTorch ML framework
* Dedicated personality with a creative, problem-solving mindset and strong communication skills
* Active knowledge of one official language, passive knowledge of a second official language and very good knowledge of English
****In a nutshell****
As an ML Engineer (m/w) for Weather and Climate, you will bring cutting-edge forecasting models to operational scale across Europe, prototyping new ML and MLOps approaches and helping shape the next generation of weather forecasting.
****Our benefits****
* **Working for Switzerland** We are committed to the successful Swiss model and work for the public good.
* **Embracing diversity** Thanks to equal opportunities, we draw on our expertise and contribute different perspectives.
* **Staying healthy at work** We support and advise our employees in the area of physical and mental health.
[
All benefits](https://www.stelle.admin.ch/stelle/en/home/bundesverwaltung/ihre-vorteile-auf-einen-blick.html)
The Swiss Federal Office for Meteorology and Climatology MeteoSwiss is the Swiss National Weather Service. We record and forecast weather and climate in Switzerland and thus make a sustainable contribution to the well-being of the community and to the benefit of industry, science and the environment.
The offices of the Federal Department of Home Affairs (FDHA) take systematic measures to ensure a good working environment and the health of their staff. This commitment has earned them the Friendly Work Space label.
****Additional information****
****Questions about the position****
**Gabriela Aznar**
+41 58 460 97 11
****Questions about applying****
**Nicole Gianotti**
+41 58 460 95 04
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a machine learning engineer actually earnsmedian, seniority, by country
- Alternative careers for a machine learning engineerevery measured route out
- Data Scientist → Machine Learning Engineer54% readiness
- All open machine learning engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a machine learning engineer’s profile already covers.
- 332 open data scientist roles69% readiness from machine learning engineer
- 207 open ai engineer roles58% readiness from machine learning engineer
- 6 open conversation designer roles57% readiness from machine learning engineer
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