Machine Learning Engineer

About This Role

This Machine Learning Engineer role offers a unique opportunity to build a core deep learning library and infrastructure that powers the entire research engine for a firm, specializing in financial markets. You will be pushing the boundaries of ML applied to financial markets, working at the intersection of research, high-performance computing, and large-scale ML infrastructure.

Responsibilities

• Design, build, and evolve an internal deep learning library used firm-wide
• Partner directly with quantitative researchers to translate research needs into reusable ML tooling
• Work alongside HPC and systems experts to optimize large training workflows for speed and cost efficiency
• Integrate the best of open-source ML tooling with sophisticated in-house infrastructure
• Stay on top of cutting-edge advances in PyTorch, distributed training, CUDA optimization, and bring them into production internally

Requirements

• 2+ years of ML engineering / research engineering experience
• Strong Python plus CUDA and/or C++
• Experience scaling distributed deep learning workflows (PyTorch or similar)
• Experience building ML tooling, libraries, or infrastructure rather than just training models
• Interest in high-performance systems and large-scale compute environments

Qualifications

• 2+ years of ML engineering / research engineering experience

Skills

* Required skills