ML Infrastructure Engineer
About this role
About the Role
Audatic, part of the Sonova Group, builds systems to run deep learning experiments for real-time speech enhancement. The role focuses on designing, maintaining, and extending the experimentation infrastructure and tooling, with ownership over portions of the codebase and CI/CD pipelines. You will collaborate closely with DL engineers and data scientists to improve robustness and efficiency. What You'll Do
- Design, maintain, and extend our system for running deep learning experiments, with Python-based tooling
- Own the experimentation framework, including databases, virtual machines, cloud compute resources, and scheduling systems
- Proactively identify improvements to make infrastructure more robust, efficient, and user-friendly
- Develop tools for better insights and control over ML experiments, including our custom experiment control and visualization website
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