Senior Applied Research Engineer - Video Team

📋 Description

• Own and execute end-to-end research and production-impact projects.
• Develop latent video diffusion models for human-centric video generation.
• Design conditioning for pose, emotion, script, and camera.
• Advance distributed training strategies under real compute constraints.
• Improve training stability at multi-node scale.
• Optimize inference for low latency, high resolution, and cost efficiency.

🎯 Requirements

• Must-have: Deep learning at scale; Python & PyTorch.
• Must-have: Diffusion models; multi-GPU/multi-node training.
• Must-have: Distributed training (DDP/FSDP/DeepSpeed) and experimental design.
• Nice-to-have: Video diffusion models.
• Nice-to-have: Avatar/human-centric generation.
• Nice-to-have: Inference optimization for production.

🎁 Benefits

• Competitive compensation (salary + stock options + bonus)
• Fully remote from Europe or hybrid with offices in London, Amsterdam, Zurich, Munich
• 25 days leave + public holidays
• Great culture with planning and hub socials
• Other location benefits