Senior Machine Learning Engineer, SoundHound AI

• You have a Bachelor's degree in Computer Science, Electrical Engineering or other relevant disciplines with 8 years of full-time work experience, or a Master’s degree with 6 years of full-time work experience
• You have experience with automatic speech recognition, keyword detection or natural language understanding
• You have good understanding of deep learning and neural networks fundamentals, and are proficient in deep learning frameworks
• You are proficient in writing production-level Python code
• You have experience with Kubernetes, Docker, and other containerization technologies in cloud service environment
• You have experience mentoring junior engineers and leading technical initiatives

Desirable

• We are looking for a senior software engineer to join our core speech technology team
• You will collaborate with engineers, researchers and voice AI practitioners in the field to help enable various voice AI products for customers across different industries using SoundHound state-of-the-art ASR technologies
• You will have opportunities to apply your knowledge and experience in both software engineering and machine learning to solve real-world voice AI problems and deliver values directly to SoundHound customers
• Train, tune and test state-of-the-art ASR models for different languages for all SoundHound voice AI products using machine learning and deep learning techniques
• Collaborate with cross-functional teams to ensure seamless integration of ASR technologies into SoundHound products
• Run benchmarks to monitor performance of ASR solutions and optimize ASR models for accuracy, efficiency and scalability across various platforms and applications
• Provide customized ASR solutions to meet any customer-specific or product-specific ASR challenges
• Triage and troubleshoot customer-related ASR issues and provide timely solutions
• Work independently and lead technical initiatives to plan, design and create new tools and features to enhance SoundHound ASR technologies
• Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization

• The initial stage of the interview process entails an online evaluation, followed by a recruiter screening