About this Job:

  • We are looking for a candidate with a Bachelor or Master's Degree in Computer Science or related field
  • Strong proficiency with Java, Python, Scala or C++
  • Industry experience preferred but exceptional fresh graduates may also apply
  • On the core ML & Data Engineering team you will be working on problems related to recommender systems, revenue optimization & customer retention.
  • You will be focused on building, deploying, monitoring & maintaining the next generation of our models & algorithms.
  • In short you have an extreme willingness to learn new things and a can-do attitude to tackle new and challenging problems!

Requirements:

  • Sound understanding of machine learning fundamentals [essential]
  • Solid grasp of Python (Numpy, Scipy, Pandas, Scikit-learn) & SQL. [essential]
  • Knowledge about distributed & big data systems: Hadoop, Spark, Pig, Hive, AWS S3, AWS Redshift [desired]
  • 2+ years Experience with computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis [desired]
  • Used deep learning frameworks: Keras, TensorFlow, PyTorch, Chainer etc. [desired]
  • Used "classical" Machine Learning techniques: gradient boosting, random forest, regression, collaborative filtering. [desired]
  • Knowledge about Recommender Systems and Predictive Modeling [desired]