Principal Machine Learning Engineer, SoundHound AI

• This position requires someone who excels in a challenging, algorithm-driven, and hands-on environment
• You have a Ph.D. in Computer Science and bring at least five years of relevant, hands-on industry experience, or a Master's in Computer Science with at least eight years of industry experience
• You have a 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 have experience with training large-scale models
• You have strong programming abilities in Python, enabling you to implement and optimize ASR models effectively
• You are adept at solving complex problems and developing innovative solutions in the realm of 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

Desirable

• The Principal Software Engineer, Machine Learning role on the Automatic Speech Recognition (ASR) Modeling team leads efforts to research and develop production-ready speech recognition solutions, focusing on end-to-end speech recognition and large language models (LLMs)
• The role's purpose is to continuously innovate and refine the architecture of vital systems
• Drive innovation and advancements in the core architecture of Automatic Speech Recognition (ASR)
• Lead and contribute to cutting-edge research in Machine Learning (ML), with a focus on ASR, natural language understanding, dialogue generation, and context-aware conversational systems
• Develop novel algorithms and models to enhance the performance and intelligence of our ASR platform
• Train and optimize large-scale deep learning ASR models
• Collaborate closely with cross-disciplinary teams, including machine learning engineers, software developers, and product managers, to translate research insights into practical solutions
• Mentor and support junior researchers and engineers, fostering a culture of continuous learning and innovation
• Stay informed on the latest developments in ASR and large language models (LLMs), driving the ongoing enhancement of our technology stack