Job Description

SoundHound AI believes every person should be able to interact naturally with the products around them–by simply talking. With a global reach spanning two dozen languages, we build Voice AI products with conversational intelligence for cars, restaurant ordering, and more, allowing our customers to extend their brand in new and meaningful ways.

We are looking for a Principal Machine Learning Engineer to join our core speech technology team. You will lead efforts to research and develop production-ready wake word and automatic speech recognition solutions. You will excel in a challenging, algorithm-driven, and hands-on environment. You will continuously innovate and refine the architecture of vital systems. 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.

In this role, you will:

• Lead innovation and advancements in the core architecture of Automatic Speech Recognition (ASR) and wake word technologies.
• Spearhead cutting-edge research in Machine Learning (ML), focusing on wake word, ASR, natural language understanding, dialogue generation, and context-aware conversational systems.
• Develop novel algorithms and models to improve the performance and intelligence of our wake word product and ASR solutions.
• Train and optimize large-scale deep learning models for ASR and wake word products.
• Collaborate with cross-functional teams, including machine learning engineers, software engineers, and product managers, to transform research insights into real-world solutions.
• Mentor and guide junior researchers and engineers, promoting a culture of continuous learning and innovation.
• Stay up-to-date with the latest advancements in ASR and ML, driving the continuous improvement of our technology stack.

We would love to hear from you if:

• You have a Ph.D. in Computer Science with at least 8 years of relevant, hands-on industry experience, or have a Master’s degree with 12 years of relevant, hands-on industry experience plus
• You have proven track record of impactful research and development in Machine Learning and ASR, with a portfolio of publications and projects that showcase your expertise.
• You are highly skilled in deep learning frameworks (e.g., TensorFlow, PyTorch) and experienced in training large-scale models.
• You have strong programming abilities in Python and C++, enabling you to implement and optimize ASR models effectively.
• You are adept at solving complex problems and developing innovative solutions in conversational AI.
• You are passionate about staying at the cutting edge of AI research and are driven to push the boundaries of what's possible in conversational AI.
• You are excellent in teamwork and communication, collaborating seamlessly with cross-functional teams.