Machine Learning Scientist 4 - Studio Media Algorithms
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The role
Lead research and prototype reusable generative computer vision algorithms for the multimedia domain, from data curation to production deployment.
Design, train, post-train, and fine-tune models with diffusion and autoregressive architectures for media generation.
Evaluate solutions across diverse applications, advancing state-of-the-art CV and enabling creative tools for content production.
Mentor junior scientists and define impactful research directions while collaborating with ML engineers, product managers, and creative partners.
Own end-to-end ML lifecycle: data processing, distributed GPU training, robust evaluation, and deployment to production.
Expand technical depth into adjacent domains as business needs evolve and the field progresses.
Design, train, post-train, and fine-tune models with diffusion and autoregressive architectures for media generation.
Evaluate solutions across diverse applications, advancing state-of-the-art CV and enabling creative tools for content production.
Mentor junior scientists and define impactful research directions while collaborating with ML engineers, product managers, and creative partners.
Own end-to-end ML lifecycle: data processing, distributed GPU training, robust evaluation, and deployment to production.
Expand technical depth into adjacent domains as business needs evolve and the field progresses.
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