- Development in close collaboration with interdisciplinary research staff working on cutting-edge deep learning algorithms and software
- Support research staff to transition research prototypes to production-grade software tools
- Implement best-practices for sustainable and maintainable software development
- Education and support for research staff in software development
- MLops and implementation
- Strong practical experience (ideally Python plus other languages too), and good expertise with at least one common ML framework
- Open source and software design expertise
- Fluent English in speech and writing (French is not a requirement)
- Effective team player, autonomously creative, motivated and interactive in a fun and dynamic environment
- Knowledge in one or more of the areas of machine learning, deep learning, distributed computing, p2p networks, decentralized systems, PyTorch, jax, TensorFlow (in particular .js), web stack, and public cloud environments
- MLops experience
- Master’s, or PhD degree in computer/data science or equivalent.
- An exciting environment in a very talented and motivated international team
- Strong potential impact in research, applications and the open-source community
- Meaningful implementable projects that have an impact in low-resource settings
Company
Location
Lausanne - Switzerland
Job type
Full-Time
Python Job Details
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
The MLO lab focuses on research on machine learning, including deep learning, scalable distributed and decentralized machine learning, optimization, and text understanding. Algorithms developed by our team have also found adoption in industry.
The intelligent Global Health (iGH) research group is embedded in MLO, hosting a wide range of applied projects dedicated to improving healthcare in resource limited settings. It collaborates with international NGOs where its activities range from primary data collection to applied machine learning and launching clinical trials for real world algorithm validation.
The MLO lab focuses on research on machine learning, including deep learning, scalable distributed and decentralized machine learning, optimization, and text understanding. Algorithms developed by our team have also found adoption in industry.
The intelligent Global Health (iGH) research group is embedded in MLO, hosting a wide range of applied projects dedicated to improving healthcare in resource limited settings. It collaborates with international NGOs where its activities range from primary data collection to applied machine learning and launching clinical trials for real world algorithm validation.
Research Software Engineer - Machine Learning
Main duties and responsibilities include :
Your profile :
We offer :
Start date :
to be agreed upon
Term of employment :
Fixed-term (CDD)
Duration :
1 year fixed-contract, with possible extension
part time or full-time
Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.
Reference :
Job Nb 2464
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