ML Systems Engineer
Core
Building and deploying large-scale deep learning systems in production for high-frequency trading, optimizing model serving and inference pipelines under strict constraints. (via careerplan.io/jobs/C0-009-BD-76C-ml-systems-engineer-at-final)
Role type
Senior IC ML Systems Engineer
Builds
Production deep learning models and inference pipelines for live trading
Domain
Financial technology / High-frequency trading
Deliverable
production ML models
Required skills
Deep learning system design, PyTorch/TensorFlow, Python/C/C++, CUDA/Triton kernel implementation, distributed training orchestration, performance profiling, model quantization/distillation/compilation, memory optimization
Preferred skills
M.Sc. or Ph.D. in quantitative field, advanced PyTorch internals knowledge, experience with vision/language/diffusion models
Technologies
PyTorch, TensorFlow, CUDA, Triton, Python, C, C++