2 months ago
ML Engineer (Acoustics & Sensor Fusion)
Vacancy from Hirify Global, list of international tech companiesPlus is required to make matches and apply
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Job description
Text:
TL;DR
ML Engineer (Acoustics & Sensor Fusion) (Machine Learning/Edge AI): Developing acoustic detection, sensor fusion, and computer vision models for autonomous counter-drone systems with an accent on real-world performance, model efficiency, and deployment on edge hardware. Focus on optimizing, quantizing, and distilling models, iterating across architectures, and integrating them with deployed sensors.
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.
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