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Senior Applied Research Engineer - Video
📋 Description
- Develop and scale latent video diffusion models for human-centric video generation.
- Design conditioning mechanisms for pose, emotion, scripts, and camera movement.
- Lead end-to-end applied research projects to production impact.
- Develop and optimize distributed training with DDP, FSDP, DeepSpeed, sequence parallelism.
- Improve training stability across multi-GPU and multi-node environments.
- Design evaluation frameworks with automated metrics and human review.
🎯 Requirements
- Experience training deep learning models at scale in research or production.
- Strong Python and PyTorch skills.
- Experience with diffusion models; video-generation preferred.
- Proven multi-GPU, multi-node training experience.
- Knowledge of distributed frameworks like DDP, FSDP, DeepSpeed.
- Ability to design controlled experiments and analyze results.
🎁 Benefits
- Fully remote working environment within Europe.
- Full-time employment.
- Opportunity to build production-scale video foundation models.
- Influence next-gen human-centric video tech.
- Work on scalability, stability, controllability and inference optimization.
- High-ownership environment driving toward real-world products.
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