Machine Learning / Research Engineer - Deep Learning - Capital Markets

Machine Learning / Research Engineer - Python, C++, CUDA

Capital Markets - Tier 1 Finance Firm

Miami, FL

FTE

As a Machine Learning / Research Engineer you will advance the deep learning library at a leading global market maker, collaborating closely with researchers to enhance functionality and optimize workflows for improved training speeds and cost efficiency. Leveraging cutting-edge technologies and financial market expertise, your work will enable over 100 researchers to accelerate their agendas and unlock new experimental possibilities.

In this role, you will grow and maintain the internal deep learning library, integrating open-source tools with proprietary systems. You’ll work with researchers to identify needs, add functionality, and collaborate with HPC experts to optimize distributed workflows. This includes scaling PyTorch-based workflows, applying Python, CUDA, and C++ expertise, and ensuring the system remains at the forefront of innovation.

The ideal candidate has 5+ years of experience in machine learning and software development, strong distributed systems skills, and a proven track record with large-scale deep learning frameworks.