Role: Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud computing. Machine Learning Engineers should be comfortable with data engineering and should have an interest in the data science. What they will do: They will be responsible for their production grade signal generation and ML systems. They can act as data scientists, but should be comfortable pushing their algorithms, models, and signals into production. Minimum Requirements: • Strong understanding of statistical analysis and computational modelling. • Strong understanding of algorithms and data structures. • Familiar with map reduce and big data processing (Spark, Hadoop, DataFlow, etc). • TensorFlow (or another GPU integrated deep learning library). • Deep understanding of machine learning algorithms. • Deep understanding of numerical optimization. • Strong understanding of data structures and algorithms. Plus, but not required: • Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc). • Experience building industrial grade ETL pipelines. • Experience building frontend systems. • Familiarity with dashboards and other visualization tools. • Ability to derive generalization bounds for common ML algorithms. • Experience developing new machine learning algorithms.