Machine Learning Performance Engineer

An engineer with expertise in low-level systems programming and optimisation is sought to enhance the performance of machine learning models, including training and inference, in a financial trading setting. The role involves applying systems knowledge to improve throughput, latency, and efficiency at various levels of the computing stack, including GPU, storage, and networking. Candidates should possess experience with CUDA, debugging and optimisation tools, and knowledge of modern ML techniques. Familiarity with GPU architectures, distributed training algorithms, and high-speed networking technologies is important for this position. Fluency in English and a curious, problem-solving mindset are desired qualities. The position focuses on performance enhancement through a holistic systems approach without referencing company specifics.