About this role
We are looking for a full-time researcher willing to work with us in the
development of innovative speech and language solutions based on the latest
deep learning technologies and frameworks, capable of satisfying the needs
of an industry demanding speech and natural language technologies and
interfaces for an increasingly varied set of domains and use cases. The
researcher will be developing his/her work at Vicomtech
<http://www.vicomtech.org/en> (San Sebastian, SPAIN).
The goal is to research on neural techniques and architectures which enable
the adoption of speech and language technologies in challenging application
scenarios involving noisy/spontaneous speech and language, the availability
of limited in-domain training data, real-time on-premise processing
requirements, incremental learning and minority languages. These research
lines are supported by ongoing and future Speech and Language projects in
the department
<http://www.vicomtech.org/en/d6/speech-and-natural-language-technologies>,
which also counts with the necessary Deep Learning training and deployment
infrastructure. At the practical level, the researcher will participate in
tasks related to collaborative and industrial R&D projects, working in a
team of experts in speech and natural language technologies.
Company:
VicomTech
Qualifications:
? Engineering degree or equivalent, good knowledge in one or more of the
following fields: machine learning, maths, computer science
? Confident with Deep Learning frameworks (Pytorch, Tensorflow) and Linux
and/or Windows development environments in one or more languages (C/C++,
Python, Java, Bash, Perl)
? Experience with tools and libraries for speech processing and machine
translation will be valued (Kaldi, DeepSpeech, Wav2letter, OpenNMT, Marian)
? PhD will be preferred, option to start a PhD is also considered
? Passionate about applied research, industrial innovation and technology
transfer in the areas of this role
Language requirements:
? Good written and spoken Spanish and English skill
Educational level:
Master Degree