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Available positions
Please note that you will have to apply through the EPFL, ETH Zurich or PSI HR portal links, as indicated in the job postings. Any application sent by email will not be considered.
Machine Learning Engineer
About the Swiss Data Science Center (SDSC)
The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI). Its mission - to enable data-driven science and innovation for societal impact - drives its initiatives in research projects, knowledge and technology transfer, and education. With a large multidisciplinary team of professionals in Lausanne, Zurich and Villigen, the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. The SDSC also contributes to initial and executive education programs at EPFL and ETH Zurich. More: www.datascience.ch
Your mission
You will provide machine learning engineering expertise in the context of several SDSC partnerships in the French part of Switzerland. In this role, you will meet partners (companies, public sector entities, NGOs) to understand their needs and help them define a high-impact project with the SDSC. Together with the SDSC data scientists, you will be responsible for the societal and/or industrial impact of your projects thanks to your machine learning engineering expertise.
Main duties and responsibilities include
- Elaborate solutions that convert data science prototypes into impact in the context of an industry/public sector/NGO collaboration, with particular focus on the engineering side and in view of meeting production requirements
- Create original solutions with business partners, from solution design to industrialization
- Share expertise in machine learning engineering (and related fields) with fellow data scientists/machine learning engineers
- Presenting to a non-technical audience will also be part of your activities.
Your profile
The ideal candidate has:
- Master degree in Computer Science, Mathematics or similar field
- Good knowledge of machine learning concepts
- Demonstrated expertise in machine learning engineering, particularly in an industrial context
- Ability to present to various audiences
- Open to collaborative work and team spirit
- Highly appreciated: experience as a full-stack engineer, experience as a (data) architect, experience deploying LLM-based solutions in industrial contexts
- Fluent in English; knowledge of French highly appreciated
We offer
Do you see yourself helping Switzerland become more data-driven? Are you passionate about data science and with experience in machine learning? Are you keen to share what you know and get exposed to several projects in various domains? Are you eager to be part of a diverse and adaptable team with equal growth opportunities of its members at its core? If your answer to these questions is yes, you should consider joining us. Together, we can help move the Swiss landscape to the next level of data science.
During your time at the Swiss Data Science Center, you will benefit from the following opportunities:
- Develop your soft skills and meet with key stakeholders in several industries
- Interact with and learn from fellow data scientists
- Discover new data science applications in various industries
- Exchange on advanced machine learning topics with our academic experts
We actively promote a healthy work-life balance in the workplace. We are looking for candidates willing to contribute to an inclusive environment and eager to continuously learn.
Informations
Contract Start Date : 01.01.2026
Activity Rate : 100.00
Contract Type: CDD
Duration: 1 year, renewable
Reference: 1877
Contact
We look forward to receiving your online application including application letter, CV and diploma(s). Applications via email or postal services will not be considered. For further information about the Swiss Data Science Center please visit our website: www.datascience.ch
Questions regarding the position should be directed to hrdatascience@datascience.ch with the job n° reference.
Remark:
Only candidates who applied through EPFL website or our partner Jobup's website will be considered.
Senior Data Scientist (W/M)
About the Swiss Data Science Center (SDSC)
The Swiss Data Science Center (SDSC) is a strategic focus area of the ETH domain, with EPFL and ETH Zurich as founding partners, developing into a National Research Infrastructure in 2025. Its mission is to support academic labs, hospitals, industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures. More: www.datascience.ch
The Research team is responsible for research collaborations in the academic and public sector. See https://datascience.ch/academic-projects/ for an idea of some of our academic research collaborations.
Mission
As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural language processing, and signal processing to work closely with researchers, experts and other collaborators from academia or the public sector in Switzerland, working in various fields, such as health and biomedical sciences, climate and environment, energy and sustainability, physical and engineering sciences, and digital society. You will help them identify how to analyze or model their data to answer precise scientific questions or develop algorithms that perform automatically some challenging tasks.
This typically involves exchanging actively with collaborators and domain experts to understand the precise desiderata of the project, translating them into data science terms, determining which approaches and formulations are most effective to achieve the desired goals, implement the corresponding algorithms, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and the associated documentation, write research papers or technical reports as appropriate, and contribute to the communication of the results.
Main duties and responsibilities include
- Working on data science projects with collaborators from the academic and public sector.
You will also contribute to:
- Advising MSc Students.
- Evaluating project proposals.
Profile
The ideal candidate:
- Holds a PhD in machine learning, statistics, computer vision, natural language processing, signal processing, or optimization.
- Has practical experience in using machine learning models in concrete applications.
- Has experience in interdisciplinary collaborations and of real-world applications is desirable.
- Is proficient in Python, PyTorch, and familiar with state-of-the-art models and architectures.
We offer
- A stimulating, collaborative, cross-disciplinary environment in a world-class research institution, where you will be part of a team of 40 data scientists from more than 15 different countries. We all work towards applying and developing novel ML methods to solve real-world problems.
- We value work-life balance.
- You will be able to publish your research in collaboration with experts from different fields in top-ranked journals and conferences.
- You will have the opportunity to help supervise student projects.
- We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on the job.
- Your opinion will always matter.
Information
Contract Start Date : 01/10/2025
Activity Rate : 100.00
Contract Type: CDD
Duration: 1 year renewable
Reference: 1731
Contact
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position should be directed to Mathieu Salzmann (mathieu.salzmann@epfl.ch) or Guillaume Obozinski (guillaume.obozinski@sdsc.ethz.ch) (no applications).
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.
Working at the Swiss Data Science Center
Our recruitment policy is based on the following principles:
1. Fair practices: SDSC upholds transparent and fair hiring practices, treating all candidates with dignity, respect, and equality. We have clear and comprehensible guidelines that guide our recruitment methods and ensure every employee understands and follows them.
2. Positive culture: SDSC is committed to creating a work environment prioritizing its workers' well-being, satisfaction, and productivity. We support flexible working arrangements, including remote work possibilities, and provide a safe and healthy work environment where every employee feels valued, respected, and supported.
3. Gender equality: We value gender equality and give equal opportunity and respect to all employees. We think everyone has unique talents and skills and encourage all our employees, regardless of gender, to attain their full potential. We establish an environment where gender stereotypes (and all other biases) are challenged, resulting in an inclusive and empowering workplace.
4. Cultural diversity: We believe in the potential of inclusion and diversity. We seek to assemble a group of enthusiastic individuals who share our beliefs and ideals regardless of gender, ethnicity, age, sexual identity, religion, or handicap. We actively recruit people with varied origins, nationalities, and experiences because we believe that a diverse workforce promotes innovation, creativity, and effective problem-solving.
5. Continuous growth: SDSC is committed to promoting our workers' ongoing education and development. We provide opportunities for professional development, allowing individuals to improve their skills, knowledge, and talents. We encourage our employees to realize their professional goals by offering resources and support.
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