Senior Applied Research Engineer - Video

📋 Description

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

🎯 Requirements

• Strong experience training deep learning models at scale
• Strong Python and PyTorch skills
• Hands-on diffusion models (image domain required; video preferred)
• Experience with large scale multi-GPU / multi-node training
• Distributed training knowledge (DDP, FSDP, DeepSpeed or similar)
• Ability to design controlled experiments and interpret noisy results

🎁 Benefits

• Join a highly technical, high-ownership environment where work ships
• Impact production-scale video foundation models
• Work on human-centric video generation with real-world impact
• Cutting-edge generative video models with research-to-product flow