← Zurück zur Liste
Stelle
· Senior
Senior Research Engineer - Video Foundation Models (Pre-Training)
AI / ML Engineer
• Senior
• Remote
• Vollzeit
• 📍 Europe
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017 and headquartered in London, with offices across Europe and the US. After a Series E round raising $200M, its valuation stands at $4B. As a Research Engineer in the Video Pre-Training team you help build the next generation of production-grade foundation models for human-centric video generation, working at the intersection of large-scale generative modeling, distributed systems and production engineering. This is applied research with direct product impact, influencing models used by tens of thousands of businesses. The role is remote in Europe.
Responsibilities
- ▹Develop and scale latent video diffusion models tailored for human-centric video generation
- ▹Design conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity
- ▹Advance distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) 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: reproducibility, experiment tracking, CI/CD, monitoring
Requirements
- ▹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)
- ▹Ability to design controlled experiments and interpret noisy results
Nice to have
- ▹Experience with video diffusion models
- ▹Experience in avatar or human-centric generation
- ▹Familiarity with world / interactive models
- ▹Experience with GANs or VAEs
- ▹Experience optimizing inference systems for production
Soft skills
Research-driven but outcome-focused; cares about shipping, not just publishingExplores multiple ideas quickly and drops low-signal directions earlyCommunicates clearly and presents results scientificallyOperates independently but collaborates actively across teams
What we offer
- ▹Competitive compensation (salary + stock options + bonus)
- ▹Fully remote from Europe or hybrid with an office in London, Amsterdam, Zurich or Munich
- ▹25 days of annual leave + public holidays
- ▹Great company culture with regular planning and socials at the hubs
- ▹Other benefits depending on location