Senior Applied Research Engineer Video
Synthesia is an active London-based enterprise AI video platform that lets businesses create, localize, manage, and publish videos using AI avatars and voiceovers.
Funding history
About Synthesia
Synthesia Limited provides browser-based AI video creation for business communications, training, sales enablement, marketing, and support. Its platform includes AI-assisted creation, avatars, voiceovers, translation/localization, collaboration, and publishing workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own applied research and engineering projects from hypothesis through production. You will develop video diffusion models, scale distributed training, improve evaluation and training stability, optimize inference, run controlled experiments, and maintain reproducible production engineering practices.
Requirements
- Deep learning training experience at scale
- Python
- PyTorch
- Diffusion model experience
- Multi-GPU and multi-node training experience
- Distributed training knowledge including DDP, FSDP, or DeepSpeed
- Controlled experiment design
Responsibilities
- Develop and scale latent video diffusion models
- Design conditioning mechanisms for pose, emotion, script, and camera control
- Advance distributed training strategies
- Improve multi-node training stability
- Design automated and human evaluation frameworks
- Optimize inference for latency, resolution, and cost efficiency
- Run controlled ablations and experiments
- Maintain reproducibility, experiment tracking, CI/CD, and monitoring