AI/ML Engineer – Behavioral Safety (m/f/d)
Core
Develop and productize machine learning systems for semantic awareness and reliable safety behavior in next-generation humanoid robots, including intent recognition and AI-based fall strategies.
Role type
Senior IC machine-learning engineer (robotics safety)
Builds
AI-based fall strategy controllers and multimodal foundation model integrations for robot safety stacks
Domain
Robotics + AI/ML
Deliverable
production ML models
Required skills
ML system deployment in production, ROS2 integration, foundation model fine-tuning, real-time model inference optimization, benchmarking methodology, mathematical foundation (linear algebra, optimization, probability)
Preferred skills
Experience in autonomous systems or safety-relevant domains
Technologies
ROS2, foundation models
Responsibilities
Integrate multimodal foundation models into robot safety stack, design and productize AI-based fall strategy controllers, architect and optimize ML model inference within real-time control loops, define benchmarking methodology for behavioral safety classifiers, establish evaluation frameworks for AI safety behavior aligned with ISO/IEC TR 5469, mentor junior engineers
Seniority
Senior, hands-on IC
