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, and camera movement.
• Lead end-to-end applied research projects to production impact.
• Develop distributed training with DDP, FSDP, DeepSpeed, sequence parallelism.
• Improve training stability across multi-GPU/multi-node environments.
• Design evaluation frameworks with automated metrics and human eval.

🎯 Requirements

• Experience training deep learning models at scale (research/production).
• Python and PyTorch expertise.
• Diffusion models experience; image generation required, video preferred.
• Large-scale multi-GPU/multi-node training experience.
• Distributed training tech: DDP, FSDP, DeepSpeed or similar.
• Experiment design, robust analysis, and data-driven decisions.

🎁 Benefits

• Fully remote in Europe.
• Full-time employment.
• Opportunity to build and productionize video foundation models.
• Influence next-gen human-centric video tech.
• Work on scalability, stability, controllability, inference optimization.
• High ownership environment with real-world impact.