ML Engineer (Acoustics & Sensor Fusion)

Location: Munich, Germany; EU work authorization required

Company

A Munich-based defense technology startup developing autonomous counter-drone systems for modern airspace security.

What you will do

• Develop and optimize machine learning models for acoustic detection, sensor fusion, and swarm intelligence.
• Evaluate computer vision architectures and iterate based on field data and performance benchmarks.
• Optimize, quantize, and distill models for deployment on edge and embedded hardware.
• Take models from early research through production deployment on autonomous sensing systems.
• Collaborate with hardware and firmware engineers to ensure efficient execution on deployed sensors.

Requirements

• Strong foundation in machine learning with experience in acoustics, sensor fusion, or computer vision.
• Practical experience optimizing and deploying models on edge or embedded hardware.
• Familiarity with model distillation and compression techniques.
• Ability to run experiments across multiple model architectures and iterate quickly.
• EU work authorization is required.
• Internship candidates should have a strong academic background in ML/AI and hands-on project experience.

Nice to have

• Experience with network or swarm intelligence algorithms.
• Background in defense, robotics, or autonomous systems.

Culture & Benefits

• Work in a small, high-output team with backgrounds in leading academic and consulting institutions.
• Receive highly competitive cash compensation and virtual stock options based on experience and contribution.
• Take on significant responsibility in a fast-paced environment.
• Contribute directly to the development and success of an early-stage company.
• Accelerate learning through meaningful technical challenges and real-world deployment work.