Senior ML/AI Engineer
Role details
Job location
Tech stack
Job description
HEADBORNE seeks a Senior Machine Learning/AI Engineer to join our rapidly growing core systems team. You will develop machine learning solutions for advanced sensor technology from concept through deployment-optimizing object detection algorithms and pioneering ML-based image enhancement techniques that push the boundaries of what our sensors can achieve. This is a hands-on, high-impact role spanning model architecture, data pipeline development, embedded deployment, and system-level performance optimization. Working closely with hardware and systems engineers, you'll translate sensor capabilities into robust ML models that perform reliably in real-world conditions. We're looking for a brilliant, motivated engineer to join TEAM HEADBORNE-delivering mission-based, safe AI solutions that matter., * Own and lead the development of ML models for object detection, tracking, and image enhancement on embedded platforms.
- Build and maintain scalable data pipelines for sensor data ingestion, training, and evaluation.
- Optimize inference performance for low-latency, low-power edge compute (GPU/CPU/NPU) environments.
- Integrate ML models into mission-critical systems for AR helmets, drones, and robotic platforms.
- Conduct experiments and benchmarking across diverse imaging conditions and sensor types.
- Collaborate with software and hardware teams to align ML architecture with embedded system constraints.
- Contribute to codebase quality, model reproducibility, and CI/CD workflows for ML pipelines.
- Explore and prototype new ML applications aligned with HEADBORNE's mission.
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * MS or PhD in Computer Science, Machine Learning, or a related technical field.
- 2+ years of experience shipping production-grade ML systems.
- Deep expertise in machine learning algorithms and applied computer vision (classical and deep learning).
- Expert-level Python and hands-on experience with PyTorch (or equivalent frameworks).
- Proven experience across the full ML lifecycle: data curation, training, evaluation, deployment.
- Demonstrated ability to optimize models for real-time performance and deployment on edge platforms.
- Proficiency in both English and German.
- Able to work extended hours as required.
- Right to work in Germany, without sponsorship.
- Eligibility for German security clearances.
- Self-motivated, organized, and collaborative., * Experience deploying real-time ML systems using TensorRT, ONNX Runtime, and the NVIDIA edge stack (quantization, pruning, etc.)
- Proficiency in C++ for high-performance or low-latency systems.
- Familiarity with modern ML Ops tools: experiment tracking, model registries, CI/CD pipelines.
- Experience designing and scaling data ingestion and processing pipelines.
- Background in advanced computer vision tasks such as object detection, super-resolution, denoising, or image enhancement.
Benefits & conditions
- Defend free democracies through mission-based, safe AI solutions
- Closely collaborate with a small, international team of world-leading experts on cutting-edge AI-driven AR systems
- Earn a competitive salary
- Receive highly competitive stock options
