Machine Learning at Elastic

With the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future. And in order to get there, our team is looking to hire an exceptional Research Engineer to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering.

Your role:

As a Research Engineer – Machine Learning you will be a pivotal part of our Prelert team and will contribute to the further development of our Machine Learning focussed projects by being a subject matter expert and resource to the software design and development process.

Our Research team at Elastic focuses on developing and applying techniques from Machine Learning, statistics and data mining, including but not limited to Bayesian modelling, counterfactual reasoning, feature learning and data stream processing. Our goal is to build powerful and robust solutions such as anomaly detection, categorisation and recommendation, enabling customers to gain insight from their data.