Applied Speech Scientist

Fast-growing and venture-backed AI startup seeks exceptionally talented speech scientists to help shape the future of voice AI. The ability to learn new technologies and solve highly vague problems on a tight schedule is critical. Top-notch communication skills are essential. A strong sense of ownership is a prerequisite. Expect to work with intense, motivated, and competent peers.

Requirements

• Prior experience in speech recognition and generation
• Theory, applications, and limitations of machine learning
• Theory, applications, and limitations of deep learning
• Experience with at least one mainstream deep learning framework

Preferred

• Ability to program in C
• Practical understanding of data structures and algorithms
• Experience building complex and extensible software

About the Role

Picovoice is a deep tech startup founded by engineers and driven by engineers. We are accelerating the transition of voice AI from the cloud to the edge. Why? Privacy, reliability, and the environment [1] [2]. Numerous enterprises, including NASA and Stanford University, are leveraging Picovoice technology in their products.

In this role, you get to work on

• Applied research to improve the accuracy and runtime efficiency of on-device voice recognition [1] [2] [3]
• Build Voice AI models from scratch for upcoming products
• Improve existing Voice AI models: Leopard & Cheetah Speech-to-Text, Octopus Speech-to-Index, Rhino Speech-to-Intent, Porcupine Wake Word Detection, and Cobra Voice Activity Detection
• Develop algorithms for automated data gathering and generation