Deep Learning Researcher for Speech Recognition (f/m/d)

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Your Name Your Business Email Your Company Your Phone Your Country AlgeriaAngolaArgentinaArmeniaAustraliaAustriaBelarusBelgiumBoliviaBosnia HerzegovinaBrazilBulgariaCanadaChileChinaColombiaCosta RicaCroatiaCyprusCzech RepublicDenmarkEcuadorEgyptEl SalvadorEstoniaFinlandFranceGermanyGreeceGuatemalaHungaryIcelandIndiaIranIraqIrelandIsraelItalyJapanJordanKenyaKuwaitLatviaLebanonLibyaLiechtensteinLithuaniaLuxembourgMacedoniaMexicoMoroccoNamibiaNetherlandsNew ZealandNicaraguaNigeriaNorwayOmanPakistanPanamaParaguayPeruPhilippinesPolandPortugalQatarRomaniaRussiaSaudi ArabiaScotlandSerbiaSlovakiaSloveniaSouth AfricaSpainSwedenSwitzerlandSyriaThailandTunisiaTurkeyUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayVenezuelaVietnamYemen Your Message

Deep Learning Researcher for Speech Recognition, full time (f/m/d)

eMM is a company powered by AI and technology built in-house or in collaboration with research organizations as part of collaborative research projects. We build powerful models to process audio and video data in order to transcribe and understand what is being broadcast around the world.

Our country and channel coverage is second to no other commercial organization in our field and most stock-listed companies as well as many small and medium enterprises rely on eMM’s systems working 24x7 to alert them on relevant news as they break in real time.

At 18‚ years of age we are an established player and here to stay; but we have retained the ability to move fast and still live the start-up culture. As the innovation leader in our industry, we reinvent ourselves regularly.

We are searching for a Deep Learning Researcher to join our team.

Join our world-class team and become part of the success story of data driven marketing and business intelligence.

In order to qualify for this position, a FH or university MSc or Doctorate (preferred) in Computer Science, Signal Processing, Statistics, Mathematics or equivalent is required.

In This Role You’ll Have The Opportunity To

Continually push the state of the art in speech recognition and NLP. You will conduct cutting edge deep learning research in speech and NLP. Our systems already perform better than humans for the information retrieval task and now we look for the best deep learning engineers and researchers to help us push the state of the art in speech recognition to get to a better than human level performance also for raw word-by-word transcription accuracy.

Research & train eMM’s deep learning models. You will work with large scale data sets to research and train deep learning models for speech recognition. You will research and develop novel algorithms and techniques to advance the state of the art in natural language understanding. You will conduct research and experiments in order to improve accuracy of our Deep Learning ASR pipeline. You will also dig into weaknesses and failure points of our current ASR models in order to identify further areas for improvement.

Your Experience

Pytorch, Kaldi, DeepSpeech

Applied deep learning research & development

Training large models on multiple GPUs

Preferred Experience (any Of The Following)

Speaker diarization

Speech recognition, off-line or real-time

Kaldi, DeepSpeech, Wav2letter++, Wav2vec, CTC, RNNTs, LSTM

Skills

Programming: Python, Shell, Perl

Basic knowledge of software engineering (git, devops, Linux, etc.) and experience scheduling long running processes on computed clusters

Proficiency in English; any other languages is highly desired

Soft Skills

Open minded, inquisitive

Analytical mindset

Teamplayer

Our Offer

A full time position

Flexible schedule

Rooftop office located in Vienna’s city center/remote work possible

Professional work environment with state-of-the-art equipment

Our offices are centrally located in Vienna, the town ranked #1 for living world-wide multiple years in a row. We welcome everybody to work in our offices, remote possible.

According to the collective agreement, the monthly gross salary is € 2503,00 (paid out 14 times a year, overpay is possible depending on qualifications).

To apply, please send your CV together with a statement of motivation to: application2025@emediamonitor.net. We are looking forward to your application!