Machine Learning Engineer

As a Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning models and systems that enable autonomous aircraft capabilities. Role Responsibilities Develop cutting-edge ML models and software for AI-based flight capabilities in commercial aircraft Conduct rigorous evaluations of ML models, assessing effectiveness, efficiency Write high quality, product level code that is easy to maintain and test following standard methodologies Collaborate with cross-functional teams to integrate ML solutions into scalable, certifiable systems Qualifications Master's or Ph.D. in Computer Science, Machine Learning, or a related discipline, OR a Bachelor's degree with 2+ years of applicable industry experience in CV/ML perception software engineering Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.) Experience in deploying ML models to production Extensive experience in Python Strong communication skills and presentation abilities Nice to Have Passion for aviation and autonomous systems Experience with LLM, RAG, RL, and other emerging ML technologies Proficiency in C++

Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now. At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus.