Millennium is seeking a team-oriented individual who can add value to its Equity Technology Research & Development team. It is an exciting opportunity to work in a R&D Lab environment that would allow the individual to research existing and emerging machine learning models, experiment with model mapping to data-sets, machine learning training & inference frameworks/tools, and machine learning training & inference acceleration. The individual will also collaborate with application development and infrastructure teams in evolving machine learning strategy, reviewing architecture, performance analysis & tuning, prototyping reference implementations around machine & deep learning.
SKILLS REQUIRED:
* Master's degree or PhD in Computer Science, Engineering, Economics, Mathematics, or other quantitative fields * 5+ years of experience with programming in Python/R * 3+ years of experience with various machine learning related frameworks & tools such as tensorflow, keras, scikit-learn, spark and other * 3+ years of experience with various machine learning, deep learning, statistical and data mining techniques * Excellent understanding of the theory behind Machine Learning and Deep Learning, and experience with common Deep Learning models such as CNN, RNN/LSTM and other * Experience with working in a Linux environment * Experience with using cloud technologies such as AWS stack or GCP stack will be a plus * Experience with financial time-series analytics, alternative data will be a plus * Must be passionate about technology and should stay abreast of the latest industry practices and technological innovations. * Self-starter and must have excellent problem solving skills
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