The Apertus project, a joint effort between EPFL and ETH Zürich, is seeking a practical and motivated engineer to help build the next generation of open foundation models. The successful candidate will help develop and run post-training and reinforcement learning pipelines for the Apertus project.
Apertus is trained and developed on Alps, the Swiss National Supercomputing Centre’s supercomputing infrastructure. The role requires someone who is comfortable working in an HPC environment and collaborating with researchers and infrastructure engineers.
The engineer will contribute to the development, execution, and evaluation of scalable post-training workflows for Apertus.
Infrastructure and systems engineering
LLM post-training and Reinforcement Learning
Essential
Strongly preferred
Nice to have
Contract Start Date : as soon as possible
Activity Rate Min : 80.00
Activity Rate Max : 100.00
Contract Type: CDD
Duration: 1 year, renewable
Reference: 2192
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