Senior Speech and Language Scientist

About Analog

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

• Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, or equivalent practical experience.
• Proven track record of research in speech or audio processing, demonstrated 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 similar.
• Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks.
• Experience working with large-scale datasets and distributed computing systems.
• Proven track record of research in speech or audio processing, demonstrated by publications in peer-reviewed journals or conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc
  
  

Preferred Qualifications

• Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms.
• Familiarity with techniques for multilingual or low-resource speech recognition.
• Background in self-supervised or unsupervised learning for speech/audio representation.
• Knowledge of privacy-preserving techniques in audio data processing.
• Experience mentoring junior researchers or managing collaborative projects.
  
  

What Working At Analog Offers

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

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