Machine Learning Research Engineer

THE MITRE CORPORATION; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

The MITRE Corporation is seeking a Machine Learning Research Engineer to join its premier air traffic management center in Singapore. This role involves applying machine learning to enhance aviation operations, offering collaboration with international experts and involvement with unique aviation datasets. Ideal candidates should possess strong analytical skills and relevant experience, with a focus on solving real-world aviation challenges through innovative machine learning approaches.

Qualifications

• 1–3 years of experience with Python and machine learning libraries.
• Deep knowledge of machine learning concepts.
• Experience with GPU-accelerated training.

Responsibilities

• Implement, train, and evaluate machine learning models.
• Perform data validation and preprocessing.
• Analyze model performance using relevant metrics.

Skills

Machine Learning

Python

Data Analysis

Deep Learning

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Electrical or Computer Engineering

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Bachelor's degree in Physics

Tools

PyTorch

TensorFlow

scikit-learn

Job description

MITRE ASIA PACIFIC SINGAPORE (MAPS)
Machine Learning Research Engineer

Under the initial sponsorship of the Civil Aviation Authority of Singapore (CAAS), The MITRE Corporation, a U.S.-based, globally renowned research and development company, established its premier air traffic management research center in Singapore in 2015 to support the growth in the Asia Pacific Region. This research center, MITRE Asia Pacific Singapore (MAPS), needs a machine learning research engineer to be part of a dynamic team of multi-disciplinary professionals working to improve air traffic operations in Singapore and the Asia Pacific region. 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