Overview
On Site
Full Time
Skills
Research
Trading
Deep Learning
PyTorch
TensorFlow
Computer Architecture
C++
Python
JAX
CUDA
Linux
Training
Open Source
Data Science
Machine Learning (ML)
Job Details
Your Responsibilities:
Requirements:
Preferred Qualifications:
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.