Tasks

We are looking for an ML Engineer to develop the acoustic sensing and sensor fusion algorithms that power OmniDome's detection and classification capabilities, from early research through deployment on edge hardware.

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• Develop and optimize models for acoustics-based detection, sensor fusion, and swarm intelligence
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• Work with computer vision models, testing different architectures to optimize performance
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• Bring models onto edge hardware through optimization, quantization, and model distillation techniques
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• Iterate on model architecture based on real-world field data and performance benchmarks
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• Collaborate with hardware and firmware engineers to ensure models run efficiently on deployed sensors
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Requirements

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• Strong foundation in machine learning, with experience across acoustics, sensor fusion, or computer vision
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• Practical experience optimizing and deploying models on edge/embedded hardware
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• Familiarity with model distillation and compression techniques
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• Comfortable running experiments across multiple model architectures and iterating quickly
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• For internship candidates: strong academic background in ML/AI with hands-on project experience
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• EU work authorization
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Bonus Points:

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