Materials Hack Playground for innovative materials powered by Borealis.
8th-10th July Vienna, Austria 2.5days Hackathon 3weeks Incubation 2winning teams 24Kcash prizes
Machine Learning Engineer
What You Will Have to Do Our product Hubgets handles real-time communication flows for companies of all sizes. The product wants to help users become more productive and happy work, by offloading time consuming and frustrating tasks to the computer - as automated as possible.
In this position, you will essentially help Hubgets become smarter and better serve its users.
Design and implement unsupervised algorithms to process real-time communication data (phone calls, instant messaging, emails, presence, activity etc.
Provide insights that can be used by users to improve their performance as part of the analytics platformProvide insights that can help users make faster decisions without having to dive into peers and / or old dataContribute to Hubgets' technical visionCoordinate with other teams in regards to the managed components
What You Must Know
BS / MS in Computer Science, Mathematics, Physics or related technical field. PhD degree is considered a plus.Proficiency in C / C++, Python or JavaExcellent understanding of machine learning conceptsExcellent understanding of algorithms and data structuresPractical knowledge of multiple machine learning algorithms and when to select an algorithm based on a given problemExperience with diving into data, finding insights, and presenting themExperience in dealing with high performance, real-
time scoring / classificationExperience in handling very large datasets of informationPractical experience with Spark. Storm experience is considered a plus.
Experience with deep learning tools such as Theano is considered a plus.