Magic Carpet AI is a research and technology company focused on artificial intelligence applied to investment solutions.
We have seen the power of our AI engine and are building a world-class asset management system.
We specialise in deep reinforcement learning for asset management, liquidity management, trade execution and market characterisation.
MCAI is a strong predictive analytics unit with a tech oriented foundation. We built the ideal playground for AI research in the financial market. Your work will be roughly 90% research and 10% production orientated.
Our tech stack currently consists of:
Python 3.6+, Tensorflow 2.0, PostgreSQL, Kubernetes, Docker, Flask, NodeJS, React
MCAI is seeking a dynamic and talented machine learning scientist to help develop our architecture for automated trading in the digital asset space.
PhD with applied deep learning experience
Alternatively extensive applied experience and no PhD
Having published in a journal or conference on machine learning such as NeurIPS, ICML, MICCAI, CVPR, ICCV, TPAMI, ICLR, IJCV, etc.
Bonus – Proficiency working with time series
Strong Python coding skills
Good git practices
Familiar with unix environment
Experience with financial market (especially algorithmic trading) is a plus
Read more / apply: https://ai-jobs.net/job/magic-carpet-ai ... scientist/