Machine Learning Research Engineer

Machine Learning Research Engineer

The role offers the opportunity to work on unique aviation datasets and complex operational challenges, collaborate with international experts, and contribute to aviation research with impact across the region.

The ideal candidate has a strong interest in applying machine learning to solve real-world problems in aviation, possesses excellent verbal and written technical communication skills, and strong analytical abilities.

A successful candidate will:

• Implement, train, and evaluate machine learning models under the mentorship of senior researchers and aviation subject-matter experts
• Perform data validation, data preprocessing, and feature engineering
• Conduct literature reviews and adapt deep learning architectures from research papers and emerging literature
• Analyze model performance using both traditional machine learning metrics and operationally relevant metrics
• Support reproducibility, experiment tracking, and model deployment efforts
• Contribute to technical reports and publications, and present findings to operational stakeholders

Required Skills and Experience:

• Bachelor's degree in Computer Science, Data Science, Electrical or Computer Engineering, Statistics, Mathematics, Physics, a related technical field, or equivalent experience
• 1–3 years of experience with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Deep knowledge of machine learning concepts
• Experience with GPU-accelerated training of deep learning models

Preference will be given to candidates who possess any of the following competencies or attributes:

• Master’s degree in a related technical field
• Exposure to applied research in academic or industrial settings
• Demonstrated experience working with real-world or multi-modal data (e.g., time series, geospatial, imagery)
• Familiarity with deep learning architectures such as CNNs, RNNs, transformers, or autoencoders
• Foundational knowledge of meteorology or air traffic management concepts
• Strong interest in aviation