At Deepzen, we are working on sector specific solutions that will eliminate the need to use studios and lengthy recording sessions by creating human-like quality of speech with emotions that can be edited by using intuitive tools. Users can pick voices from an existing library, modify and tweak them, then generate voices directly from texts.

Machine Learning Experts

London, Oxford.
* Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
* Develop multi-modal machine learning approaches to improve significantly Deepzen's emotion recognition engine
* Suggest, collect and synthesize requirements and create effective feature roadmap
* Code deliverables in tandem with the engineering team
* Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
* Perform specific responsibilities which vary by team

* Pursuing PhD in Computer Science, related STEM or quantitative field or relevant experience
* Research experience in a relevant field, such as machine learning, NLP, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision
* Experience in systems software or algorithms
* Experience in one of the following languages C/C++, Java, Perl, or PHP
* Experience in Python and shell scripts
* Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable is a plus
* Excellent interpersonal skills, cross-group and cross-culture collaboration
* High levels of creativity and quick problem solving capabilities
* Proven track record of achieving significant results
* Ability to obtain work authorization in the United Kingdom in 2019