Computing and Mathematical Sciences Division - Research Engineer: Statistics and Machine Learning

Mohamed bin Zayed University of Artificial Intelligence; Abu Dhabi; On-site; AED 268,000 - 469,000; Full time

Benefits offered by this job

Housing allowance

Medical insurance

Annual return flight

Visa application support

Job summary

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for a fully funded Research Engineer position in Statistics, Machine Learning, or related fields in Abu Dhabi, UAE.

The role supports research projects in modern statistics and ML, with potential topics including probabilistic ML, uncertainty quantification, conformal prediction, time-series forecasting, and anomaly detection.

Qualifications

• Knowledge of machine learning or statistical modeling and experience implementing and evaluating models using relevant datasets.
• Experience with Git, Linux, testing, and writing clear, maintainable, and documented research code.
• Excellent organizational and communication skills, including excellent written and spoken English.
• Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or a related discipline.

Responsibilities

• Implement and evaluate machine-learning and statistical methods across a range of research projects.
• Build reliable and reproducible workflows for data preprocessing, model training, evaluation, and visualization.
• Run experiments, establish baselines, analyze model performance, troubleshoot technical issues, and communicate findings to researchers.
• Develop maintainable research software using version control, code review, automated testing, documentation, and reproducible environments.
• Maintain shared research code and computing workflows and support efficient experimentation where needed.
• Collaborate with research-group members and academic and industry partners and contribute to technical reports, research papers, and demonstrations.

Skills

Python programming

Git

Linux

Testing

Documentation

English communication

Education

Master's degree in CS/Math/Stats/Data Science

Tools

PyTorch

JAX

TensorFlow

scikit-learn

Job description

Computing and Mathematical Sciences Division - Research Engineer: Statistics and Machine Learning

Mohamed bin Zayed University of Artificial Intelligence

Location

Abu Dhabi, UAE

Open Date

Sep 21, 2026

Applications are invited for a fully funded Research Engineer position in Statistics, Machine Learning, or a closely related field for 3-12 months, with flexibility, under the supervision of Prof. Souhaib Ben Taieb at MBZUAI in Abu Dhabi, UAE. The successful candidate will support research projects in modern statistics, machine learning, and related areas. Projects may involve topics such as probabilistic machine learning, uncertainty quantification, conformal prediction, time-series forecasting, or anomaly detection, but candidates with relevant experience in other areas of machine learning are encouraged to apply. The lab collaborates with leading academic and industry partners. The position includes a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, an annual return flight to the home country, and full visa application support.

Key Responsibilities

• Implement and evaluate machine-learning and statistical methods across a range of research projects. Example areas may include probabilistic prediction, uncertainty quantification, conformal prediction, time-series forecasting, and anomaly detection, among others.
• Build reliable and reproducible workflows for data preprocessing, model training, evaluation, and visualization.
• Run experiments, establish baselines, analyze model performance, troubleshoot technical issues, and communicate findings to researchers.
• Develop maintainable research software using version control, code review, automated testing, documentation, and reproducible environments.
• Maintain shared research code and computing workflows and support efficient experimentation where needed. Collaborate with research-group members and academic and industry partners and contribute to technical reports, research papers, and demonstrations.
• Strong programming skills in Python.

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors.

The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Exceptional Benefits:
• Comprehensive health & life insurance
• Relocation support for international hires
• Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

• Knowledge of machine learning or statistical modeling and experience implementing and evaluating models using relevant datasets.
• Experience with Git, Linux, testing, and writing clear, maintainable, and documented research code.
• Excellent organizational and communication skills, including excellent written and spoken English.
• Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, or a related discipline.

Preferred Qualifications

• Experience with a commonly used machine-learning framework or library, such as PyTorch, JAX, TensorFlow, or scikit-learn.
• Experience with research software, large-scale experimentation, GPU computing, high-performance computing, or cloud computing.
• Familiarity with modern AI-assisted software-development tools or coding agents.
• Publications, open-source contributions, or substantial thesis or applied-project experience in AI or a related field.
• Experience working in multidisciplinary or international collaborations.
• Coursework or training in machine learning, statistical modeling, data science, software engineering, or a related area.