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The Speech & Language Scientist is a specialized role dedicated to enhancing the understanding and application of speech and language technologies. This position serves as a bridge between research and development, facilitating innovations in automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.
Key Responsibilities:
- Conduct cutting-edge research in speech and audio technologies, including but not limited to speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio.
- Research, model, design, develop, and test novel audio and speech processing algorithms utilizing machine learning, signal processing, and computer vision.
- Collaborate with cross-functional teams, including software engineers, product managers, and designers, to translate research findings into real-world applications.
- Improve the accuracy of models and algorithms to address challenges encountered during implementation.
- Propose AI techniques to enhance operational efficiency for target clients.
- Invent, analyze, design, develop, and optimize algorithms and models related to speech processing technologies.
Qualifications:
- PhD in Computer Science, Electrical Engineering, or a related field focused on speech and audio processing, or equivalent practical experience.
- Proven research track record 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 such as Python or C++.
- Strong understanding of signal processing techniques and deep learning models for audio and speech tasks.
- Experience working 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 audio representation.
- Knowledge of privacy-preserving techniques in audio data processing.
- Experience mentoring junior researchers or managing collaborative projects.
Work Conditions:
- A collaborative team environment fostering curiosity, courage, and creativity.
- Opportunities to engage in impactful projects with significance at national and global levels.
- Exceptional prospects for professional growth and development.
- Competitive compensation package that includes healthcare, education support, and generous leave benefits.
Language Requirements:
- Proficiency in English; knowledge of additional languages is an asset.
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