Machine Learning Performance Engineer (CUDA)

A leading global trading firm is hiring a Machine Learning Performance Engineer to work on a flagship AI program. You'll have real influence across ML infrastructure, training and inference, work that feeds directly into the firm's futures trading strategies. The role Build robust, scalable training and inference pipelines for deep learning Work inside the internals of open-source deep learning frameworks and extend what they can do Hunt down and remove performance bottlenecks Partner closely with researchers and fellow engineers Build deep knowledge of how the trading systems work What's on offer You'll be part of a collaborative, high-performing culture built around curious thinkers and inventive problem-solvers, tackling some of the hardest challenges in financial markets alongside genuinely strong colleagues. Colleagues drawn from 40+ nationalities Highly competitive compensation 401(k) matched up to 50% Full health, mental health, dental, vision, disability and life cover 25 days' paid leave plus market holidays Generous office perks — breakfast, lunch and snacks, social events, clubs and sports leagues What you'll bring Strong low-level GPU programming in CUDA — Tensor Cores, cooperative groups, graphs, warp-level intrinsics Deep familiarity with the internals of frameworks such as PyTorch, JAX or TensorFlow Solid grounding in computer architecture C++ and Python The JAX ecosystem (XLA, Flax and similar) Large-scale distributed training Open-source contributions in ML or data science About the firm A major market maker active on 100+ exchanges worldwide, focused on improving markets by adding liquidity, pricing accurately and increasing transparency in all conditions — with the health and efficiency of those markets a priority for every participant. #J-18808-Ljbffr Fintal Partners