ML ENGINEER (f/m/d)

Omnisent; München; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Competitive compensation

Stock options

Growth opportunities

Zusammenfassung

Omnisent, a Munich-based defense technology company, seeks an ML Engineer to develop acoustic sensing and sensor fusion algorithms powering OmniDome's detection and classification. You will take models from research to deployment on edge hardware.

Collaborate with hardware/firmware teams, optimize for resource constraints, and iterate with real-world data. Candidates with ML/AI background and hands-on edge deployment experience are encouraged to apply.

Qualifikationen

• Strong foundation in machine learning with experience across acoustics, sensor fusion, or computer vision.
• Practical experience optimizing and deploying models on edge/embedded hardware.
• Familiarity with model distillation and compression techniques.
• Comfortable running experiments across multiple model architectures and iterating quickly.
• EU work authorization required for employment in Germany.

Aufgaben

• Develop acoustics-based detection models and sensor fusion.
• Optimize and deploy models on edge/embedded hardware.
• Collaborate with hardware and firmware engineers to run models efficiently on deployed sensors.
• Experiment with multiple model architectures and iterate based on field data and benchmarks.
• Bridge ML models with system constraints to ensure real-time performance.

Kenntnisse

ML foundation

Edge deployment

Model distillation

Experimentation

EU work authorization

Ausbildung

Strong academic ML/AI background

Tools

Jobbeschreibung

Founded in 2025, Omnisent is a Munich-based defense technology company developing fully autonomous, Counter-UAS system. We are a small, high-output team from Cambridge, Imperial College, MIT, and BCG united by a mission to redefine modern airspace security.

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.

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

Requirements

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

Bonus Points:

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

Benefits

• Competitive Compensation: Highly competitive cash comp, along with virtual stock options, that reflect your experience and the value you bring.
• Accelerated Learning & Growth: Join a fast-paced environment where you'll take on real responsibility, overcome meaningful challenges, and grow alongside a driven team.
• Make a Real Impact: Play a key role in shaping Omnisent's journey and contribute directly to the success of the company.

In your cover letter, we'd love to hear about your personal interests, what drives you, why this role feels like the right fit, and most importantly, why Omnisent.