Machine Learning Researcher / Data Scientist
Machine Learning Researcher
The Role / Candidate:
The role involves developing machine learning techniques and applying them to seek patterns in large, dirty and noisy data sets. A firm understanding of the underlying mathematics will be needed to adapt modeling techniques to fit the problem space. The resulting codebase will be at the forefront of machine learning and pushing its boundaries into new and exciting areas. A prerequisite is an extremely strong background in mathematics and computer science. A post-graduate degree in machine learning is desirable, as is an interest in finance. The successful candidates should be able to understand the theoretical justifications for the machine learning techniques as well as be able to create the software to apply the techniques, and where necessary develop those techniques into new areas.
The successful candidate will be someone who is not just a user of machine learning libraries, but understands and can successfully use a number of approaches, e.g.: classification, clustering, linear models. Knowledge and practical experience in application of Bayesian methods, Gaussian processes and approximate inference is required, any knowledge of kernel methods, hidden Markov models linear dy namic systems would be a plus. What is essential is a hands-on ability to apply mathematical concepts to real world financial problems, to implement theoretical insights as working code, and the ability to work independently in a research environment. Numerical programming is an integral part of the role and experience in an object oriented language is very desirable
Desired Skills Experience
Education background:
- An MS/PhD degree from one of the worlds leading universities or research labs in one of the following fields: Statistics, Computer Science, Speech Recognition, Electrical/Electronic Engineering or Physics.
- Up to date knowledge in the field of machine learning and statistical learning
- Deep and thorough understanding of the theoretical justifications of ML techniques and methods.
Additional skills that they are seeking include:
- Ability to conduct the full spectrum of research on one's own: from model design to algorithm development to testing.
- Comfort with some scripting language (Python/Unix shell/etc.) and a numerical language (R/Matlab).
- C++ / Perl / Bash knowledge is also ideal
- Experience working with real world large datasets
- Experience at top-tier research labs / ML conferences / publications
- Awards and honors in leading mathematics / physics / computer science competitions
All conversation are treated with the strictest confidence
To find out more about Huxley Associates, please visit www.huxley.com
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