Senior Applied Research Engineer - Video

About the role

As an Applied Research Engineer in the Video team, you will build the next generation of production-grade foundation models for human-centric video generation. You will work at the intersection of large-scale generative modeling, distributed systems, and production engineering to develop models that power realistic, controllable, and emotionally expressive synthetic humans. This role focuses on applied research with direct product impact, ensuring models are high quality, stable, and efficient for real-world deployment.

Responsibilities

• Develop and scale latent video diffusion models tailored for human-centric video generation
• Design conditioning mechanisms to improve control over pose, emotion, script, and camera
• Advance distributed training strategies under real compute constraints
• Improve training stability at multi-node scale
• Design rigorous evaluation frameworks combining automated metrics and structured human evaluation
• Optimize inference for low latency, high resolution, and cost efficiency
• Run controlled ablations and experiments to drive high-signal modeling decisions
• Contribute to high engineering standards including reproducibility, experiment tracking, and CI/CD

Required skills

• Deep learning
• Python
• PyTorch
• Diffusion models
• Multi-GPU training
• Multi-node training
• Distributed training
• DDP
• FSDP
• DeepSpeed
• Experimental design

Nice to have

• Video diffusion models
• Avatar generation
• Human-centric generation
• World models
• Interactive models
• GANs
• VAEs
• Inference optimization

About the Company

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company develops products to enhance visual communication and enterprise skill development, with a valuation of $4 billion following a recent Series E funding round.