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SoundHound AI is seeking a Senior Machine Learning Engineer to join their team and contribute to the development and integration of cutting-edge ASR models. The ideal candidate will possess a strong understanding of machine learning, deep learning, and neural network fundamentals, with experience in automatic speech recognition and spoken language processing.This role involves:
- Training, tuning, and testing state-of-the-art ASR models for various languages.
- Collaborating with cross-functional teams to integrate ASR technologies into SoundHound products.
- Running benchmarks and optimizing ASR models for accuracy, efficiency, and scalability.
- Providing customized ASR solutions and troubleshooting customer-related issues.
- Leading technical initiatives to enhance SoundHound ASR technologies.
- Mentoring junior team members and contributing to knowledge sharing.
- A Bachelor's degree with 8 years of experience or a Master’s degree with 6 years of experience in a relevant field.
- Experience in automatic speech recognition, natural language understanding, or spoken language processing.
- Proficiency in machine learning and deep learning frameworks (Pytorch preferred).
- Experience with Kubernetes, Docker, and other containerization technologies.
- Proficiency in Python and experience with C++.
- Equity
- Virtual/remote, hybrid, and in-office workplace setting options.
SoundHound AI
SoundHound AI is an AI innovator delivering powerful solutions that reimagine human-machine interaction. Specializing in voice, generative, and conversational AI, the company’s multilingual, omnichannel technology enhances various sectors, including automotive, healthcare, and customer service. SoundHound AI focuses on creating exceptional, AI-powered experiences for customers, employees, and patients worldwide, driven by values of support, honesty, and a commitment to excellence. Their mission is to build voice AI for the world, leveraging diverse perspectives to achieve breakthroughs.