Working for the Ecole polytechnique fédérale de Lausanne (EPFL) means being part of a prestigious school that consistently ranks among the top 20 universities worldwide. As a public university dedicated to improving the world around us, we have three missions: training, research and technology transfer. We boast one of the most dynamic university campuses in Europe and employ more than 6,000 people. Our employees perform high-value-added work in teaching and research and in the school’s administrative and technical services. Between our main campus in Lausanne and our satellite campuses in Geneva, Neuchâtel, Fribourg and Sion, our workforce is composed of more than one hundred different professions.
At EPFL, we foster a culture of respect and inclusion in the workplace. We promote a healthy work-life balance through flexible working hours and on-campus daycare and sports facilities. Our employees also benefit from belonging to a diverse community of 16,000 people – including over 10,000 students and 3,500 researchers – from 120 different countries.
SDSC - Senior Software Engineer
Description
EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with a proven track record in software engineering and product innovation on large-scale distributed platforms, services and applications to staff up their national R&D center for data science.
In this role, you will be contributing to the design and development of Renga, the center’s Insights-as-a-Service open source platform. Renga is a hosted one-stop-shop for replicable data science, used in academic domains from personalized medicine to astronomy as well as in industrial applications. It allows practitioners to access and explore data at scale, deploy data science workflows, and exchange insights.
Specifically, you will:
Independently develop critical components for our secure and scalable open data science platform.
Design and build REST-full, web-based, and event-based architectures to facilitate exploitation of data and meta-data from the ground-up.
Liaise with data providers and data scientists to gather requirements and extend the center’s meta-data management systems.
About us
The Swiss Data Science Center (SDSC, datascience.ch) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain and the Swiss academic community at large. It aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge analytics platform offering domain-specific “Insights-as-a-Service” while addressing security and privacy issues inherent to the field of data science.
The SDSC is composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich. The unique synergy that the center will enable among the institutions of the ETH Domain and between academic and industrial stakeholders in both data science and across carefully selected domains is expected to foster scientific breakthroughs with significant societal impact. Requirements
You
Have at a minimum a MSc in Computer Science, Electrical Engineering or related disciplines.
Have a proven track record of crafting innovative and elegant software solutions.
Have advanced programming skills in Scala functional programming language or Python.
Have deep hands-on experience with REST JSON services. Experience in designing micro-services is a plus.
Are passionate about building out cutting-edge distributed systems in the cloud. Experience with cloud technology like Docker is a plus.
Seek out opportunities to engage and contribute to the open source community.
Work well in a cross-functional environment and excel in communicating with your peers.
Have excellent command of the English language, both verbal and written. Good working knowledge of French or German is highly desirable.
Benefits
A stimulating, startup-like, cross-disciplinary environment in a leading university
Opportunities for turning academic research into impactful solutions
Excellent ties to research groups worldwide, both academic and industrial
Access to state-of-the-art infrastructure and resources
