Responsibilities
- Designing and building frameworks that underpin the firm’s next-generation ML platforms and trading systems
- Ensuring compatibility with modern cloud infrastructure, leading ML libraries, and state-of-the-art model architectures
- Running large-scale training experiments and contributing to rigorous, in-depth model evaluation and analysis
- Working closely with researchers and engineers across multiple offices on foundational model research spanning language, vision, multimodal, and structured data
Basic qualifications
- Proven, hands-on experience with large foundational models — training, evaluation, and analysis
- Advanced Python development in a Linux environment
- Strong grounding in deep learning, generative AI, and modern model architectures
- Direct experience with multi-GPU training at scale
- A track record building high-performance software with demonstrable results
- Familiarity with parallel computing frameworks and performance optimisation
- Intellectual curiosity, a bias toward open-source tooling, and genuine interest in ing ML to trading and research problems
- A team-first mentality and the kind of work ethic that thrives in a high-trust, high-output environment
About the company
Opportunities to do genuinely frontier AI research at a prop trading firm in the UAE are rare. Most firms with real research ambition keep their ML teams in New York, London, or Singapore. This is one of the few exceptions, and the pedigree behind it is exceptional.
The UAE is a central part of their future. The office is growing quickly and is already home to senior AI researchers, quant leads, and strategy leadership. The team is small by design with a clear and funded plan to scale significantly. The people joining now will shape the culture, the tooling, and the direction of the research programme. Alongside this, the firm has secured compute resources allowing them to do large-scale foundational model work.
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