At Cobrainer, we are developing a revolutionary, fast and intuitive way for people and organizations to find and connect with the relevant expertise needed to drive their ideas and projects.
To make this a reality, our Machine learning team is developing software that analyses large public and private data sets in order to extract, clean and accurate expertise information. To this end, the team brings together methods and concepts such as data mining, machine learning, natural language processing, distributed computing, API design, and user interface design.
As a Lead Software Engineer in the Machine learning team, you are responsible for translating cutting-edge research into a scalable and maintainable product that can be deployed and used on new customers’ datasets within minutes. Training models and improving the underlying analytics architecture based on customer interactions and customer feedback in rapid two-week release sprints will be your rhythm - as you and your team are building and maintaining the critical data analysis and learning core of the Cobrainer Expertise Management Software.
This vacancy is aimed to be filled at the earliest possible date.