Senior Applied Research Engineer - Video

📋 Description

• Study and scale latent video diffusion models for human-centric video generation.
• Design conditioning mechanisms for pose, emotion, scripts, and camera movement with high fidelity.
• Lead end-to-end applied research and engineering projects from hypothesis to production impact.
• Develop distributed training strategies using DDP, FSDP, DeepSpeed, and sequence parallelism.
• Improve training stability and efficiency in multi-GPU/node environments under real-world
• Estimate model performance with automated metrics and structured human evaluation.

🎯 Requirements

• Strong experience training deep learning models at scale (research or production).
• Proficient Python and PyTorch.
• Experience with diffusion models (image generation required; video generation preferred).
• Experience with large-scale multi-GPU/multi-node training.
• Understanding of distributed training frameworks (DDP, FSDP, DeepSpeed).
• CUDA proficiency; familiarity with AWS, SLURM, Docker, CI/CD, and distributed systems.

🎁 Benefits

• Fully remote within Europe.
• Full-time employment.
• Opportunity to build and deploy production-scale video foundation models.
• Influence next-gen human-centric video generation tech.
• Work on scalable, controllable, and evaluable AI systems.
• High-ownership environment with collaboration among top researchers and engineers.