We're looking for a smart, hard-working individual with an academic background and some industry experience in machine learning. You should be able to demonstrate or cite relevant work you have done in the past.
Ideally, you will have worked with TensorFlow, NumPy and pandas.
You will work on our core product, improving the performance and efficiency of our algorithms.
Day-to-day tasks will include algorithm prototyping, performance improvement, e.g., training on large data sets in more efficient ways, and deploying learning models to production.
You should also be comfortable working with and creating RESTful APIs.