Principal AI Research Engineer
Core
Design, implement, and evaluate novel machine learning and deep learning algorithms for an all-electric vertical takeoff and landing aircraft.
Role type
Principal AI Research Engineer (Aerospace/Robotics)
Builds
Production-ready AI systems for sustainable air mobility and robotic manipulation
Domain
Aerospace engineering + AI/ML
Deliverable
production ML models
Required skills
Deep learning, Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, model distillation, mixture of experts, PyTorch, TensorFlow, data strategy, model evaluation, research prototyping
Preferred skills
Reinforcement learning, self-supervised training, imitation learning, VLA (Vision Language Action) models, production AI deployment, top-tier conference publications
Technologies
PyTorch, TensorFlow
Responsibilities
Design and implement novel ML/DL algorithms; iterate on AI model development from data to deployment; collaborate on prototyping solutions from academic literature; benchmark new techniques; develop tools for scalable research; transition prototypes to production systems
Seniority
Principal, hands-on IC with strategy & mentorship
