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Accountabilities:
- Develop and scale latent video diffusion models for human-centric video generation.
- Lead end-to-end applied research and engineering projects from hypothesis to production.
- Optimize distributed training and inference for large-scale deployment.
Requirements:
- Strong experience training deep learning models at scale with Python and PyTorch.
- Proven expertise with diffusion models, distributed training frameworks, and controlled experiments.
- Experience with video diffusion models, avatar generation, or human-centric generative AI is a plus.
Benefits:
- Fully remote working environment within Europe.
- Opportunity to work on production-scale video foundation models at the forefront of Generative AI.
- High-ownership environment with focus on safety, ethics, and people-first development.
Partner Company
They develop production-grade foundation models for human-centric video generation. The team operates in a high-ownership, fast-paced environment with a focus on safety and ethics.