Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Acubed, you will play a key role in designing, developing, and deploying machine learning models and systems that enable autonomous aircraft capabilities.

In Short

• Develop cutting-edge ML models and software for AI-based flight capabilities in commercial aircraft
• Conduct rigorous evaluations of ML models, assessing effectiveness and 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

Requirements

• 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

Benefits

• Comprehensive health insurance
• Paid time off and holidays
• 401(k) and Flexible Spending Account
• Health Savings Account
• Airbus Employee Share Ownership Plan
• Flight training opportunities