Double River Investments is a quantitatively driven investment company. We operate throughout the global markets in search of alpha. We also want to improve our world, and make impact/humanitarian investments in developing countries, helping local communities.
Our team covers multiple disciplines from Computer Science and Mathematics to Econometrics and Statistics, with backgrounds ranging from years in the industry to current students. We work remote, cover multiple time zones, and love what we do. The Double River culture is all about trust, being curious, and working together.
We are looking for a machine learning engineer to test, develop, and maintain machine learning models to inform our quantitative investing. The work can be done in conjunction with school or another job/internship. The workload will be about 10-20 hours a week, and can be done in a balanced manner over each week. The position has the potential to be a multi-year commitment with increased responsibilities.
- Independent self-starter, able to do work without oversight
- Experience with Machine Learning techniques and frameworks (Deep Learning, decision trees, Transformers, clustering algorithms, etc.)
- Experience programming in Python and relevant libraries (PyTorch, sklearn, numpy, pandas, tensorflow, etc.)
- Ability to apply existing methods as well as invent new algorithms to solve intricate problems
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