Data Scientist for Distributed Machine Learning
8 hours ago
You will be part of a renowned research team at IMC Financial Markets, contributing to the development of cutting-edge frameworks that enable large-scale model training on a distributed cluster. Close collaboration with researchers, platform and software engineers will be essential in accelerating the rollout of diverse models.
Your Key Responsibilities:
- Design and support libraries for accelerating training on a distributed environment
- Evaluate and implement third-party tooling (e.g. MLflow; Neptune; Ray)
- Dive into the internals of open-source ML tools to extend their capabilities and resolve fundamental bugs
- Leverage expertise in scheduling tools (k8s, slurm etc) to optimize resource utilization across a broad research team
About the Role:
We are seeking an experienced Data Scientist to join our team in developing innovative solutions for distributed machine learning. The ideal candidate will have a strong background in fundamental ML frameworks like Pytorch and Tensorflow, as well as experience in Python and C++ programming languages.
IMC Financial Markets is a leading trading firm, renowned for its advanced technology and world-class execution capabilities. Our talented employees are united by an entrepreneurial spirit, exceptional culture, and commitment to giving back.
About You:
- MS degree in CS or similar fields or equivalent experience
- 3+ years of relevant work experience
- Experience in designing and implementing scalable data pipelines
Salary: $150,000 - $200,000 per annum
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