Research Engineer/Research Scientist, Audio
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Die Stelle
You will work across the full stack of audio ML, developing models and systems for speech and audio tasks.
Train and evaluate models including speech recognition, speech translation, text-to-speech, diarization, and codecs.
Research and implement architectures that integrate continuous signals into large language models and diffusion-based systems.
Scale data pipelines to millions of hours of high-quality audio and optimize training and inference for low latency.
Collaborate with teams across pretraining, finetuning, reinforcement learning, production inference, and product to ship impactful capabilities.
Contribute to safe, steerable, and robust voice AI with attention to societal impact and responsible deployment.
Train and evaluate models including speech recognition, speech translation, text-to-speech, diarization, and codecs.
Research and implement architectures that integrate continuous signals into large language models and diffusion-based systems.
Scale data pipelines to millions of hours of high-quality audio and optimize training and inference for low latency.
Collaborate with teams across pretraining, finetuning, reinforcement learning, production inference, and product to ship impactful capabilities.
Contribute to safe, steerable, and robust voice AI with attention to societal impact and responsible deployment.
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Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
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StadtSan Francisco Bay Area, United States