Speech Recognition Data Scientist

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.

About AudioCodes

AudioCodes (NASDAQ, TASE: AUDC) is a leading provider of advanced communications & collaboration software and productivity solutions for the digital workplace and customer experience. Our innovative products, solutions and services for the UCaaS, CX and Conversational AI markets are used by large multinational large enterprises worldwide.

As of today, 50 of Fortune 100 enterprises use AudioCodes technology and solutions.

Conversational AI at AudioCodes

Conversational AI technology enables machines to understand and interact with human language. AudioCodes' conversational AI solutions, integrated with advanced communications and collaboration software, as well as productivity solutions, offer innovative and intelligent services that automate and optimize voice and video processes, fostering innovation and differentiation. AudioCodes empowers businesses to gain a competitive edge and explore new opportunities for growth and expansion.

Job Description

Talented data scientist with a strong background in deep learning with experience in big data speech 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

Education

·        Ph.D / M.Sc. in Computer science / Electrical Engineering

·        Graduated with honors from a well-known university

·        GPA > 90

Requirements

·        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