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.
