Senior Video Diffusion Research Engineer

Synthesia; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Synthesia, the world’s leading AI video platform, is looking for an Applied Research Engineer to help build production-grade foundation models for human-centric video generation.

You’ll work at the intersection of large-scale generative modeling, distributed systems, and production engineering, delivering scalable training, efficient inference, and rigorous evaluation that directly impact tens of thousands of businesses worldwide.

Qualifications

• 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)
• Ability to design controlled experiments and interpret noisy results

Responsibilities

• Own and execute end-to-end research and engineering projects, from hypothesis to production impact.
• Developing and scaling latent video diffusion models tailored for human-centric video generation
• Designing conditioning mechanisms to improve control (pose, emotion, script, camera)
• Advancing distributed training strategies under real compute constraints
• Improving training stability at multi-node scale
• Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation
• Optimizing inference for low latency, high resolution, and cost efficiency
• Running controlled ablations and experiments to drive high-signal modeling decisions
• Contributing to high engineering standards: reproducibility, experiment tracking, CI/CD, monitoring

Skills

Deep learning at scale

Python

PyTorch

Diffusion models

Multi-GPU training

Distributed training

Experiment design

Tools

CUDA

Docker

AWS

SLURM

Job description

Synthesia, the world’s leading AI video platform, is looking for an Applied Research Engineer to help build production-grade foundation models for human-centric video generation.

You’ll work at the intersection of large-scale generative modeling, distributed systems, and production engineering, delivering scalable training, efficient inference, and rigorous evaluation that directly impact tens of thousands of businesses worldwide.