About the Job:
Analog is a catalyst for change across various industries, from global enterprises to the public sector, and healthcare to ecology. Our approach to AI emphasizes enriching human experiences and fostering connectivity through technology. We aim to create solutions that empower people to thrive in a digitally enhanced world.
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The Senior Speech & Language Scientist role focuses on advancing the understanding and application of speech and language technologies. This position bridges research and development, enabling innovative work 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 speech recognition, synthesis, audio enhancement, speaker identification, and spatial audio.
- Develop, model, design, 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 transition research into practical applications.
- Improve model/algorithm accuracy and coordinate cross-team problem-solving.
- Propose AI techniques to enhance efficiency for client businesses.
- Invent, analyze, design, develop, and optimize algorithms in areas such as Speech Recognition, Text to Speech, and Speaker Recognition.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, or a related field focusing on speech and audio processing, or equivalent practical experience.
- Proven research experience in speech or audio processing, evidenced by publications in peer-reviewed journals or conferences.
- Expertise in machine learning frameworks (e.g., PyTorch, TensorFlow) and proficiency in programming languages like Python, C++, or others.
- Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks.
- Experience with large-scale datasets and distributed computing systems.
Preferred Qualifications:
- Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms.
- Familiarity with multilingual or low-resource speech recognition techniques.
- Background in self-supervised or unsupervised learning for speech/audio representation.
- Knowledge of privacy-preserving audio data processing techniques.
- Experience mentoring junior researchers or managing collaborative projects.
Working Conditions:
- Open, diverse, and inclusive work culture focused on innovation and personal growth.
- Career development opportunities through structured training programs and high-tech projects.
- Competitive remuneration package with perks including healthcare, education support, and leave benefits.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
Job Type: Full-time
Language Requirements: Not specified.
