Software Engineer, Machine Learning & Big Data

About the Role GOJEK Data Science works on some of the most interesting problems in transport, logistics and economics. We leverage machine learning to build data products for ride-hailing, logistics, food delivery and payments. From selecting the right driver to dispatch, to dynamically setting prices, to serving food recommendations, to forecasting real-world events, hundreds of millions of orders per month, across more than 18 products, are all driven by machine learning. In this role, you will work with data scientists to build end-to-end machine learning frameworks that directly impact our products. You will use your experience in software engineering, data systems, distributed systems, machine learning, artificial intelligence, and deep learning to develop these systems and take them into production. Responsibilities Work closely with data scientists to understand their workflows Design and deploy frameworks to help data scientists productionize their workflows Automate the data science life cycle: model selection, training, testing and deployment Diagnose and solve problems when machine learning pipelines fail Design systems that can deploy machine learning models at scale Experience and Skills 5+ years experience as a software engineer Experience with object-oriented programming Expertise in one of Java, Scala, or Python Experience working with both relational and non-relational databases Ability to write thorough, scalable and clear design documentation Deep expertise with data streaming and computation frameworks: Spark, Kafka, Flink, Beam Experience with open-source machine learning libraries: TensorFlow, XGBoost Experience designing large-scale, high-throughput machine learning or data science systems