ML Engineer

As an ML Engineer at SEMRON, you will develop training infrastructure for models to run efficiently on our novel analog in-memory compute platform, designing a geo-distributed Quantization-Aware Training framework to prepare models for analog inference.

Requirements

• Master's degree, PhD, or a personal project or open-source contribution that demonstrates strong engineering skills and a solid understanding of ML tooling
• Fluency in Python and PyTorch
• Understanding of training workflows and practical experience with model optimization
• Ability to architect and maintain scalable systems, with clean code and clear interfaces
• Collaborative mindset and comfort working across software, research, and hardware domains