Job Details
Your Responsibilities:
- Engage in groundbreaking research in deep learning for price forecasting.
- Construct scalable and resilient training and inference pipelines for deep learning.
- Delve into the inner workings of open-source deep learning frameworks to improve their functionality.
- Collaborate closely with researchers and peers in engineering.
- Cultivate a comprehensive understanding of trading systems.
Requirements:
- PhD or equivalent industry experience in a machine learning-related field.
- Proficiency in developing deep-learning models using PyTorch, JAX, or TensorFlow.
- Experience in Python programming.
- Experience in computationally intensive research with large datasets.
Preferred Qualifications:
- Familiarity with the JAX ecosystem, including XLA, Flax, etc.
- Proficiency in programming for GPUs or other accelerators such as CUDA, Triton, Pallas, etc.
- Contributions to open-source projects in data science and machine learning.
- Strong publication track record in conferences like NeurIPS, ICML, etc.
- Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
- Experience with large-scale distributed training.
- Proficiency in C++ programming.