Senior Applied Research Engineer - Video

Job summary

Responsibilities

As an AppliedResearch Engineer in our Video team, you will help build the next generation of production-grade foundation models for human-centric video generation.

• Developing and scaling latent video diffusion models tailored for human-centric video generation
• Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity
• Advancing distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) under real compute constraints
• Improving training stability at multi-node scale
• Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation

What they're looking for

• Strong experience training deep learning models at scale
• Strong Python and PyTorch skills
• Hands-on experience with diffusion models (image domain required; video preferred)
• Experience with large scale multi-GPU / multi-node training
• Good understanding of distributed training (DDP, FSDP, DeepSpeed or similar)

Tech stack

• Node.js
• Python
• PyTorch
• CUDA
• AWS
• Docker