We are looking for a Software Engineer with strong C++ programming skills and experience in a wide range of programming languages to assist in the development of distributed and high-performance machine learning software systems and algorithms in order to create predictive applications, derive insights from large-scale medical datasets, and to create data analytical tools for our customers and medical specialists.

WHAT YOU WILL DO:

• Develop C++ libraries/frameworks to support data science infrastructure and applications


• Develop distributed software systems for training large-scale machine learning models


• Develop custom machine learning algorithms from lower-level building blocks


• Create abstractions and easy-to-use interfaces to lower-level machine learning tools and software components


• Selecting features, building and optimizing classifiers using machine learning techniques


• Data mining using state-of-the-art methods such as natural language processing


• Enhancing data collection procedures to include information that is relevant for building analytic systems


• Processing, cleansing, and verifying the integrity of data used for analysis

• B.S. or M.Sc. in computer science required


• Solid programming and computer science skills with the ability to rapidly learn new skills and technologies


• Prior data science and machine learning experience is desired but not strictly required


• Experience working with medical datasets a plus

• High level of expertise in C++. The ideal candidate is someone who is passionate about writing frameworks and libraries, has a solid grasp of modern C++ (C++ 17) and enjoys writing high-performance C++ code with techniques such as template metaprogramming.


• Moderate familiarity with other languages such as Python, Javascript, and related languages.


• Strong proficiency with UNIX/Linux and command-line tools. 


• Proficiency in using query languages such as SQL, or big data and NoSQL systems such as Cassandra, MongoDB, or Hadoop.


• Excellent communication skills.

• Prior proficiency in data analytical languages such as R, SAS, Matlab


• Prior experience with parallel or distributed technologies such as MPI or Node.js


• Concurrency programming experience with OpenMP, pthreads, or C++ threading libraries, etc


• Prior experience with machine learning tools such as TensorFlow, Scikit-learn, numpy.


• Familiarity with web development technologies, front-end or back-end