- 2+ years of full-time engineering experience
- You have expertise in one or more object-oriented languages, including Python, Go, Java, or C++, and an eagerness to learn more
- You have experience with both machine learning and building scalable production services
- You have experience with distributed storage and database systems, including SQL or NoSQL, MySQL, or Cassandra
- You have experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products
- Machine learning domain knowledge--bias-variance tradeoff, exploration/exploitation--and understanding of various model families, including neural net, decision trees, bayesian models, instance-based learning, association learning, and deep learning algorithms.
- You have a rock-star-like ability to communicate insights from complex "black-box" models to C-level and working level peers, and the ability to defend algorithm choices to industry experts
- You have the ability to solve complex business problems and apply machine learning to optimize critical business metrics
