Internally, we call this job "sniffing expert". Can you "smell" what we seek in a noisy environment? Like a honey bee sniffing out the flowers?
You will write algorithms to convert text to signatures and/or signatures to vectors, classify these vectors, and match them against existing patterns. You will also be evaluating and improving our existing "sniffing" algorithms. We deal with data that is sequential (think language).
Requirements
- Course work in statistics, linear algebra, and basic machine learning is essential.
- Knowledge of DSP is always a plus. Compressed sensing, Self Organizing Maps, Binary Decision Diagrams, anyone?
- Python, C++, or Nim language. Other languages are fine too if you are already an expert. You should be familiar with the scientific-ecosystem of your favorite language.
- Familiarity with Sympy/Maxima maybe useful since some of our existing algorithms prototypes use them.
- Familiarity with Network Programming is a plus, but is not required.