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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.
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.
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.