Machine Learning Engineer - Trading Team

Your Responsibilities:

Constructing scalable and resilient training and inference pipelines for deep learning.

Delving into the inner workings of open-source deep learning frameworks to enhance their capabilities.

Identifying and resolving performance bottlenecks.

Collaborating closely with researchers and fellow engineers.

Developing a comprehensive understanding of trading systems.

Requirements:

Proficiency in the inner workings of deep-learning frameworks such as PyTorch, JAX, TensorFlow, etc.

Thorough knowledge of computer architecture.

Proficiency in programming with C++ and Python.

Preferred Qualifications:

Experience with the JAX ecosystem, including XLA, Flax, etc.

Proficiency in programming for GPUs or other accelerators like CUDA, Triton, Pallas, etc.

Experience in Linux system programming.

Familiarity with large-scale distributed training.

Contributions to open-source projects in the realm of data science and machine learning.