Principal Machine Learning Engineer, Computer Vision is a Computer Vision Engineer role (full-time). with Sphere Defense. in BRUXELLES - BRUSSEL, BE. Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).
Imported listing (source: feeny.ai) · Apply on feeny.ai
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from feeny.ai
Sphere Defense is a fully funded technology startup building sovereign autonomous countermeasures against aerial threats, headquartered in Brussels, Belgium. As a Principal Machine Learning Engineer, you will architect and develop state-of-the-art multi-modal perception pipelines for mission-critical autonomous systems, integrating vision, IMU, radar, and other sensor data. This is a hands-on, onsite role reporting to the CTO, ideal for an experienced engineer with deep computer vision and sensor fusion expertise.
Responsibilities
Architect, design, develop, document, and test perception pipelines for situational awareness, detection, identification, and tracking
Integrate, evaluate, and fuse data from EO/IR, IMUs, radars, and other sensors for target chasing
Work hands-on close to hardware during development and testing
Draft and review documentation and design documents
Mentor and support team growth as a team player
Requirements
Master’s degree (PhD preferred) in Computer Vision, Automation, Robotics, or equivalent
At least 12 years of experience in relevant industry or academic positions
Exceptional knowledge of Machine Learning and Computer Vision
Proficiency in one production language (C++ or Rust) and one prototyping language (Python)
Sphere Defense is a Brussels-based European defence-technology startup developing autonomous, sovereign counter-UAS solutions. Its flagship concept is a jet-powered, AI-guided interceptor intended to provide effective, affordable protection against aerial threats and support European defence sovereignty.