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In this role, you will drive the technical vision for generating realistic, expressive synthetic speech and visual representations, mentor senior and junior engineers, and shape the roadmap for multimodal generative experiences across our products.\nMinimum Qualifications\nMaster’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience\nDeep hands-on experience with generative audio and/or video architectures (e.g., diffusion models, autoregressive models, GANs, VAEs, end-to-end neural synthesis)\nDemonstrated ability to lead complex, ambiguous projects from research through production, and to make sound technical tradeoffs under real-world constraints (quality, latency, compute)\nExperience evaluating generative model outputs, including both objective metrics and perceptual/subjective quality assessment\nPreferred Qualifications\nProven experience building and shipping machine learning systems in production, with 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