Machine Learning Research Engineer

My client are seeking a Machine Learning Research Engineer to join a team in Dubai. You will work alongside elite researchers, data scientists, and quants, transforming complex data into powerful models and strategies that move markets.

• Design, implement, and evaluate novel machine learning models for financial prediction and data analysis.

• Conduct rigorous research in areas such as deep learning, reinforcement learning, time series modeling, and generative models.

• Collaborate with quantitative researchers to integrate ML algorithms into live trading systems.

• Prototype and deploy scalable, production-grade ML systems in a high-performance computing environment.

• Analyze large-scale, high-dimensional financial and alternative datasets for alpha signal generation.

• Stay up to date with the latest developments in AI/ML research and bring innovative ideas into production.
  
  

• PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics, or related field.

• Strong publication record in top-tier ML or AI conferences/journals (e.g., NeurIPS, ICML, ICLR, JMLR).

• Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit-learn).

• Solid understanding of statistics, probability, optimization, and numerical methods.

• Experience working with large-scale data and distributed computing systems.

• Excellent problem-solving skills and a strong analytical mindset.

If there is interest please reach out to harry.moore(at)selbyjennings.com or apply directly.