Description
The Machine Learning Engineer will design, train, optimize, validate, and deploy deep learning models for computer vision in safety-critical autonomous flight environments. The role owns the full machine learning lifecycle, including data strategy, model architecture, evaluation pipelines, simulation, transfer learning, and model certification, while collaborating with software, systems, and flight teams to integrate reliable models into real-world applications. Candidates need strong C++ or Rust programming skills, at least five years of deep learning experience, full-stack machine learning experience, data-centric AI knowledge, and a master’s or PhD in a relevant technical field.
