AudioCodes is looking for a passionate, curious, dedicated Data Scientist. At AudioCodes we rely on insightful data to power our systems and solutions and are seeking an experienced data scientist to join our R&D team.
Job Description:
Talented data scientist with a strong background in deep learning with experience in big data audio processing. The position is for a full-time job in Israel (center) under the media technology group.
You will take part in the research and development of new AI based products for extracting insights from conversations, meetings, chats and documents.
Responsibilities:
Responsible for speech algorithms including speech to text, text to speech (training, fine-tuning and adaptations and inference).
Adaptation of models to customer domains.
Capable of vertical work from problem definition to product implementation.
Ability to work under pressure in both individual and teamwork.
Excellent interpersonal skills
Job Description:
Talented data scientist with a strong background in deep learning with experience in big data audio processing. The position is for a full-time job in Israel (center) under the media technology group.
You will take part in the research and development of new AI based products for extracting insights from conversations, meetings, chats and documents.
Responsibilities:
Responsible for speech algorithms including speech to text, text to speech (training, fine-tuning and adaptations and inference).
Adaptation of models to customer domains.
Capable of vertical work from problem definition to product implementation.
Ability to work under pressure in both individual and teamwork.
Excellent interpersonal skills
Requirements:
Education:
Ph.D / M.Sc. in Computer science / Electrical Engineering
Graduated with honors from a well-known university
GPA > 90
Minimum 4 years of experience in the industry working on speech processing including training and inference.
Strong background C\C++ and Python programming.
Strong background in deep learning algorithms and frameworks (Pytorch/Tensorflow).
Extensive experience with training and inference algorithms in one of the following speech-to-text technologies (or similar): Hybrid models, CTC,
RNN-Transducer, AED, LAS, Whisper, Wav2Vec2, Kaldi, ESPnet, WeNet, Fairseq, NeMo, Icefall.
Experience with dynamic programming, finite state transducers.
Linux native and container knowledge
Git and CI\CD, preferably Jenkins & Gerrit
Text to Speech advantage
Voice Conversion – advantage
Education:
Ph.D / M.Sc. in Computer science / Electrical Engineering
Graduated with honors from a well-known university
GPA > 90
Minimum 4 years of experience in the industry working on speech processing including training and inference.
Strong background C\C++ and Python programming.
Strong background in deep learning algorithms and frameworks (Pytorch/Tensorflow).
Extensive experience with training and inference algorithms in one of the following speech-to-text technologies (or similar): Hybrid models, CTC,
RNN-Transducer, AED, LAS, Whisper, Wav2Vec2, Kaldi, ESPnet, WeNet, Fairseq, NeMo, Icefall.
Experience with dynamic programming, finite state transducers.
Linux native and container knowledge
Git and CI\CD, preferably Jenkins & Gerrit
Text to Speech advantage
Voice Conversion – advantage
This position is open to all candidates.
