Senior Staff Engineer, Speech ML

Lab Summary:

Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc.d.

Position Summary:

For this position we are expanding our Bixby voice technology and features to include advanced research and projects in Wake word detection, Automatic Speech Recognition (ASR), that includes Acoustic and Language Modeling, and personalization. We also work on language and gender detection using speech signals, Speaker identification, verification and diarization techniques. At SRA we perform state-of-the-art research in multi-lingual/accents research and bringing those research ideas to production.

Position Responsibilities:

• We are looking for candidates with extensive expertise in Digital Signal/Speech Processing with Speech recognition specialization
• Research expertise by publishing papers in reputed journals/conferences, excellent knowledge of  Deep/Machine Learning with 7+ years of industry experience
• Candidates are expected to work in a fast paced environments

Required Skills: 

• PhD. in Digital signal processing or similar field with Machine Learning background with 7+ years of experience
• MS in Digital signal processing or similar field with 12+ years of experience
• Experience with Tensorflow or Pytorch or similar frameworks
• Worked on advance architectures such as transformers, conformer and other advanced models for ASR systems
• Working experience on ASR in large scale production systems
• Experience in modeling ML algorithms on GPUs at scale
• Experience with multi-lingual speech, low resource speech research and architectures
• Working experience on deploying recognition engines on both server and edge devices
• Experience with Acoustic modeling, noise and ambient modeling, and its effects on ASR
• Knowledge of state-of-the-art Language models such as BERT variants and other deep fusion techniques is essential
• Working on WFST, n-gram and other shallow fusion techniques for named entity recognitions
• Experience on speaker recognition, wakeup and audio-based language recognition is desirable
• Experience with improving ASR performance in far field and noisy environments
• Working experience on masking and spectral restoration based noise suppression and speech enhancement techniques
• Experience in developing advance classification models such as ECAPA-TDNN for speaker, gender classifications
• Ability to develop project plans and experience to execute them
• Research expertise in ML and written research publications
• C/C++, PYTHON, JAVA programming language experience
• Leadership ability to lead a mid-size team