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Senior Applied Research Engineer - Video
📋 Description
- Develop and scale latent video diffusion models for human-centric video generation.
- Design conditioning to control pose, emotion, scripts, camera movement.
- Lead end-to-end R&D projects to production impact.
- Distributed training with DDP, FSDP, DeepSpeed, sequence parallelism.
- Improve training stability in multi-GPU/multi-node environments.
- Robust evaluation with automated metrics and human evaluation.
🎯 Requirements
- Strong experience training DL models at scale (research or production).
- Python and PyTorch proficiency.
- Experience with diffusion models; image-generation required, video preferred.
- Experience with large-scale multi-GPU/multi-node training.
- Knowledge of DDP, FSDP, DeepSpeed, or similar systems.
- Ability to design controlled experiments and analyze results scientifically.
🎁 Benefits
- Fully remote in Europe.
- Full-time employment.
- Opportunity to build on production-scale video foundation models.
- Influence next-gen human-centric video tech.
- Work on scalability, stability, controllability, evaluation, inference.
- High-ownership environment with real-world product impact.
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