Internship for machine learning researcher to apply, adapt, and extend ML techniques across predictive modelling, clustering, time series, NLP, and computer vision, with hands-on guidance from a large team of experienced portfolio managers and researchers. Responsibilities include data collection and analysis, implementation and testing, prototyping, and performance evaluation. Ideal candidates are PhD students in ML/CS/statistics with strong programming in Python, R, or Matlab and a passion for applying research to financial markets.
What they are looking for
Details
- Work type
- Onsite
- Remote eligible
- No
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