-
Federal Office of Meteorology and Climatology MeteoSwiss
View all jobs
Machine Learning Scientist/Engineer for weather prediction (m/f)
Switzerland
· Full-time
·
Mid-Senior
This is how you can contribute
As a Machine Learning Scientist/Engineer, you will develop and train data-driven weather models based on our large data archive. You will have the unique opportunity to implement innovative, data-driven approaches for weather forecasting for Switzerland.
What Sets Us Apart
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.
Federal offices of the Federal Department of Home Affairs (FDHA) are committed to good working conditions and protecting the health of their employees and have been awarded the Friendly Work Space label.
Our benefits
Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.
Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.
Staying healthy at workWe support and advise our employees in the area of physical and mental health.
Equal pay for equal workWe ensure equal pay and provide remuneration based on performance, experience and the requirements of the position.
Work-life balanceWe support individual lifestyles with flexible forms of work and various time models.
Career prospectsWe promote the professional and personal development of our employees with state-of-the-art training and continuing professional development programmes.
Additional Information
This position is based in the Numerical Forecasting Division, which is responsible for the development and operation of MeteoSwiss's internal weather forecasting model.
- Develop and implement machine learning algorithms with a focus on data-driven approaches to weather forecasting
- Contribute to the development of the MeteoSwiss-wide MLOps platform, data pre-processing, cleansing and feature engineering
- Collaborate in an interdisciplinary team of meteorologists and computer scientists to integrate machine learning models with traditional methods of weather forecasting
- Collaborate with international institutions (ECMWF) and other national weather services in international projects to develop ML models for global and regional weather forecasting
- University degree (MSc or PhD) in data science, computer science, applied mathematics or a related field
- Proven experience in developing and implementing machine learning algorithms and data science concepts and methods
- Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Keras, etc.)
- Experience in handling and processing large data sets or experience in high-performance computing (HPC) is an advantage
- You are creative, solution-oriented and have excellent communication skills and the ability to work with interdisciplinary teams
- Good knowledge of spoken and written English and knowledge of an official language
As a Machine Learning Scientist/Engineer, you will develop and train data-driven weather models based on our large data archive. You will have the unique opportunity to implement innovative, data-driven approaches for weather forecasting for Switzerland.
What Sets Us Apart
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.
Federal offices of the Federal Department of Home Affairs (FDHA) are committed to good working conditions and protecting the health of their employees and have been awarded the Friendly Work Space label.
Our benefits
Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.
Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.
Staying healthy at workWe support and advise our employees in the area of physical and mental health.
Equal pay for equal workWe ensure equal pay and provide remuneration based on performance, experience and the requirements of the position.
Work-life balanceWe support individual lifestyles with flexible forms of work and various time models.
Career prospectsWe promote the professional and personal development of our employees with state-of-the-art training and continuing professional development programmes.
Additional Information
This position is based in the Numerical Forecasting Division, which is responsible for the development and operation of MeteoSwiss's internal weather forecasting model.
Key Skills
Ranked by relevance
c
ha
lan
machine learning
nat
ai
meteor
unity
ui
tensorflow
pytorch
python
excel
keras
mlops
esp
aci
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist/Machine Learning Consultant
2026-07-04
Full-time
Not Applicable
India
IT Services
Other
View Job Details
Related
Machine Learning Engineer
2026-07-04
Full-time
Mid-Senior
India
Retail Apparel
Other
View Job Details
Related
Machine Learning / Generative AI Consultant (Databricks, Ukraine)
2026-07-03
Full-time
Not Applicable
Ukraine
Engineering Services
Other
Login to Apply
- Posted
- Nov 12, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Zurich
Industries
Government Administration
Categories
Other
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist/Machine Learning Consultant
2026-07-04
Full-time
Not Applicable
India
IT Services
Other
View Job Details
Related
Machine Learning Engineer
2026-07-04
Full-time
Mid-Senior
India
Retail Apparel
Other
View Job Details
Related
Machine Learning / Generative AI Consultant (Databricks, Ukraine)
2026-07-03
Full-time
Not Applicable
Ukraine
Engineering Services
Other