We are seeking exceptional machine learning engineers to join a leading quantitative research and technology firm at the forefront of AI innovation. This role offers the opportunity to work on highly complex machine learning challenges, leveraging near-infinite compute power and world-class infrastructure. The Role As part of the core machine learning engineering team, you will collaborate with top researchers to develop and optimize large-scale machine learning models. You will work with both off-the-shelf tools and custom-built solutions to push the boundaries of AI and quantitative research. Key Responsibilities Implement ideas from cutting-edge research to enhance machine learning capabilities Build and optimize models trained on petabytes of data, leveraging vast compute resources Identify and resolve performance bottlenecks in machine learning architectures Evaluate and integrate the latest hardware and software innovations in AI We are looking for candidates with strong problem-solving skills who thrive in both independent and team environments. Ideal candidates will have: A postgraduate degree in machine learning or a related field, or commercial experience developing machine learning models at scale. Strong object-oriented programming skills, with experience in Python, PyTorch, and NumPy preferred. Expertise in one or more of the following: advanced optimization methods, modern machine learning techniques, high-performance computing, profiling, or model inference. A deep understanding of machine learning principles and the ability to develop custom models in collaboration with a highly skilled team. This is an opportunity to work at the forefront of AI research, solving complex challenges with access to near-infinite compute power. Finance experience is not required, and candidates from diverse technical backgrounds are encouraged to apply.