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.
Key Responsibilities
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.
Requirements
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.
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