Experience IT – Intuitive Technology: this principle guides our work at the EML Speech Technology. We are an IT enterprise, based in Heidelberg, Germany, focusing on the automatic conversion of speech into text for a variety of markets. Speech technologists and IT specialists research, develop and use state-of-the-art large-vocabulary automatic speech recognition technologies, including deep learning, to convert spoken audio into structured textual data and actions. Our products currently comprise server-based speech recognition for speech analytics, media transcription, voice messaging, voice search and dictation as well as on-device language model and grammar-based speech recognition solutions for house control, car control and smartphones. For further details on our activities please have a look at our "Best-Practice"-Examples.

For our research and development projects we hire at the earliest possible date experienced


meeting the following criteria:

- Hands-on experience in developing state-of-the-art deep learning based language understanding systems.
- Experience in the evaluation and tuning of natural language understanding systems.
- Fluency in programming languages such as C++, Python, and Java for Linux, Windows, Android or iOS.
- Experience with deep learning frameworks such as Tensorflow, Theano, Keras, Chainer, etc
- Degree in computer science, computational linguistics, mathematics, or related disciplines.

Successful candidates should have several years of applied and theoretical experience in several of the areas mentioned; a PhD or an equivalent level of applied expertise would be helpful. All positions require an application-oriented perspective and the willingness to listen to and act upon customers' requests.

Interested? Please send us your written application with the subject "Job advertisement EML/NLU" as soon as possible to the following address:

Markus Klehr, EML Speech Technology GmbH, Berliner Str. 45, 69120 Heidelberg or by E-Mail to Anja Varga (bewerbung@eml.org).