Staff Machine Learning Engineer

About the Role

Our client, a well-funded Defence-Tech scale-up based in Munich, is searching for a highly skilled Senior Machine Learning Engineer. The successful candidate will be instrumental in enhancing and scaling their proprietary Large Acoustic Model (LAM) and edge-intelligence systems aimed at defense and security sectors.

Responsibilities

• Develop, design, and train advanced deep learning models focused on acoustic event detection, classification, and localization tasks.
• Combine classical digital signal processing techniques with modern machine learning methodologies to extract robust audio features.
• Optimize and quantize machine learning models for deployment on ultra-low-power edge hardware, facilitating real-time audio intelligence inference.
• Collaborate effectively with hardware and physics teams to ensure software solutions meet the constraints and performance requirements of embedded devices.

Requirements

• Demonstrated experience as a machine learning engineer specializing in audio data, time-series, or signal processing applications.
• Proficient programming skills in Python, along with expertise in ML frameworks such as PyTorch and TensorFlow.
• Strong foundational knowledge of acoustics and digital signal processing methodologies.
• Hands-on experience deploying AI models on edge devices, including model quantization and pruning to accommodate hardware limitations.
• A relevant academic degree in Computer Science, Electrical Engineering, Signal Processing, or closely related discipline.