About the Job:
The company is a leader in transformative technologies across multiple sectors, including healthcare and ecology. The company focuses on the intersection of AI and human experiences, crafting solutions that encourage meaningful interactions with technology. As a Senior Scientist in Speech and Language, you will play a critical role in advancing research and application in speech and language technologies. This role encompasses a blend of research and development aimed at pioneering advancements in automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.
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Key Responsibilities:
- Conduct innovative research in fields such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio.
- Design, develop, and test novel algorithms for audio and speech processing using machine learning, signal processing, and computer vision techniques.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research into practical applications.
- Enhance the accuracy of models and algorithms while addressing challenges that arise during implementation.
- Identify potential AI applications to optimize client business efficiencies.
- Invent, analyze, design, and improve algorithms related to speech and audio technologies.
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, or a related field focused on speech and audio processing, or equivalent practical experience.
- Proven research experience in speech or audio processing, highlighted by publications in reputable journals or conferences.
- Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow) and programming languages such as Python or C++.
- Strong understanding of signal processing and deep learning models applicable to speech and audio tasks.
- Experience working with large datasets and distributed computing systems.
Preferred Qualifications:
- Experience with real-time audio systems or applications, particularly in AR/VR or accessibility.
- Familiarity with multilingual or low-resource speech recognition techniques.
- Background in self-supervised or unsupervised learning methods for audio representation.
- Knowledge of privacy-preserving techniques in audio data processing.
- Experience mentoring junior researchers or managing collaborative projects.
Working Conditions:
The company offers a collaborative and globally minded team environment valuing curiosity, courage, and creativity. Employees have the opportunity to work on impactful projects that shape a more human-centered world. The company provides competitive compensation, healthcare, educational support, and generous leave benefits.
Language Requirements:
Multilingual capabilities will be an asset, particularly in the context of speech recognition technologies.
