AI/ML Engineering Intern – Behavioral Safety (m/f/d)
Core
Research and prototype AI/ML models for humanoid robot safety, focusing on semantic intent recognition, fall strategy controllers, and real-time inference.
Role type
Research-focused AI/ML Engineering Intern
Builds
Multimodal foundation model integrations, AI-based fall strategy controllers, and evaluation frameworks for AI safety behavior.
Domain
Humanoid robotics and AI safety
Deliverable
production ML models
Required skills
PyTorch, Reinforcement Learning (Stable Baselines3, Isaac Lab), ROS2 integration, ML model inference, mathematical foundation (linear algebra, optimization, probability)
Preferred skills
Foundation model fine-tuning, safety-critical AI methodology
Technologies
PyTorch, Stable Baselines3, Isaac Lab, ROS2
Responsibilities
Prototype multimodal foundation model integration for robot safety context; Develop and test AI-based fall strategy controllers; Implement ML model inference in the robot control loop; Benchmark behavioral safety classifiers for semantic intent recognition; Build evaluation frameworks for AI safety behavior aligned with ISO/IEC TR 5469.
Seniority
Intern
