Machine Learning Engineer
Core
Implementing ideas from research papers, writing custom libraries for training on petabytes of data, and optimizing ML operations to drive advances in quantitative research.
Role type
Senior IC machine learning engineer (quantitative research)
Builds
Custom ML libraries and optimized training pipelines for quantitative research
Domain
Quantitative finance / Scientific computing
Deliverable
production ML models
Required skills
Python, PyTorch, NumPy, advanced optimization methods, HPC, profiling, model inference, custom model development
Preferred skills
Kaggle competition success, post-graduate degree in machine learning
Technologies
Python, PyTorch, NumPy
Responsibilities
Implementing ideas from recently published research papers, writing custom libraries for efficiently training on petabytes of data, reducing model training times by hand optimizing ML operations, profiling custom ML architectures to identify performance bottlenecks, evaluating the latest hardware and software in the machine learning ecosystem
Seniority
Senior, hands-on IC
