Senior Scientist - Speech and Language

Analog·LinkedIn·Abu Dhabi, United Arab Emirates·On-site·Full-time·2 months ago

About the role

Overview

Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.

Role

The Speech & Language Scientist is a specialized role that focuses on advancing the understanding and application of speech and language technologies. This role bridges research and development, enabling cutting-edge innovations in areas such as automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.

Responsibilities

Conduct cutting-edge research in speech and audio technologies, including areas such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio
Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision
Collaborate with cross-functional teams (e.g., software engineers, product managers, and designers) to implement research into real-world applications.
Improve accuracy of models/algorithms to solve problems encountered during the model/algorithm implementation. Coordinate various teams to solve these problems in an efficient, and effective way.
Propose scenarios where AI techniques could improve the efficiency of target clients' businesses.
Invent, analyze, design, develop and optimize algorithms and models in AUDIO areas such as Speech Recognition, Text to Speech, Speaker Recognition, etc.

Qualifications