Vacancy expired!
About the Team The team's Mission is to provide a feature engineering & graph-based real-time, analytical & machine-learning platform to reduce fraud, improve safety and user experience with better recommendations. You will be part of a team of strong software engineers executing in a fast paced environment. For more information of some learnings from building the graph system and an example use of the platform, see the posts below. [Food Discovery with Graph learning ](https://eng.uber.com/uber-eats-graph-learning/) [Advanced technologies detecting and preventing Fraud at Uber](https://eng.uber.com/advanced-technologies-detecting-preventing-fraud-uber/?ga=2.191695010.962115240.1617751131-1423582138.1617200231&uclickid=9bb88875-ff42-4998-bd20-ea4ec14a2266) About the Role Designing and developing backend systems infrastructure leveraging Cassandra, Hadoop/Hive, Flink and other Uber internal infrastructure platforms. Enrich and scale the knowledge graph data to support various use cases in Risk, Safety and Identity. Designing and developing spec driven feature computations for rules and ML models. Work closely with a fun and highly collaborative cross-functional team of Engineers, Product Managers, Data Scientists, Data Analysts and Risk Analysts Basic Qualifications At least four (4) years of software engineering experience Bachelor of Science (BS) in Computer Science, Physics, or Mathematics, or related field Experience coding with C, Java, Python, or Go Experience developing and shipping code for production systems Experience in systems software engineering. Sound understanding of computer architecture and CS fundamentals. Proficient in one of the following programming languages: Java or Golang or other equivalent Preferred Qualifications Detailed problem-solving approach and knowledge of algorithms, data structures, and complexity analysis. Understanding of distributed system and architecture Knowledge of Spark, Flink and Hadoop ecosystem
Vacancy expired!