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Reinvent voice recognition to understand real-world conversations and solve the cocktail-party problem. Utilize cutting-edge technologies in a fast-paced environment. Requires >3 years of research experience in Machine Learning, including Deep Learning, with a focus on Speaker Identification, ASR, NLP, acoustic modeling, language models, or source separation. Must be persistent, open-minded, and collaborative.
Lead Research Engineer at Ava responsible for designing and scaling AI infrastructure, improving performance of AI systems, building internal machine-learning tools, owning deployment processes, and leading a team of data engineers and scientists.
Remote Scribe for Ava Echo service, correcting captions for Deaf & Hard of Hearing users in real-time, focusing on Deaf accents. Requires ASL experience, strong English comprehension, and remote work proficiency. Part-time role with flexible hours.
Build the infrastructure for human connection by designing and building a reliable and performant infrastructure to improve the accessibility of live captioning for deaf and hard-of-hearing users. Conceive algorithms for real-time multi-editing and audio processing, design new APIs, and enhance security features.