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Stelle
· Principal
Principal Research Engineer
AI / ML Engineer
• Principal
• 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 Principal Research Engineer (L7) you own the full technical stack for offline, human-centric video generation - a senior individual contributor role bridging pre-training and post-training, spanning roughly 15 people. You partner with research leadership to define long-term strategy, resolve the hardest cross-cutting problems and accelerate how quickly research reaches product. The role is remote in Europe.
Stack
Responsibilities
- ▹Own the end-to-end technical direction for offline video generation across pre-training and post-training
- ▹Partner with research leadership and team leads to define a unified long-term roadmap and drive execution
- ▹Identify the most critical technical gaps across the pipeline and unblock them (architecture, training stability, post-training alignment, cross-team coordination)
- ▹Increase the velocity at which research ships to product and improve research-to-production handoffs in partnership with PMs
- ▹Coach and elevate junior researchers and engineers toward senior technical thinking and execution
- ▹Help shape team structure and refine processes for high-velocity, cohesive execution
Requirements
- ▹Proven track record training large-scale video generation models from scratch, across multiple nodes, at the scale of millions of hours of data
- ▹Deep experience with post-training techniques at scale: RLHF, GRPO, DPO, with the judgment of when and how to apply them
- ▹Proven track record with data quality and willingness to question it
- ▹Ability to think strategically about multi-year research direction while executing hands-on at the frontier
- ▹Strong cross-functional influence without needing positional authority
- ▹Leadership style grounded in technical involvement - leads by example and communicates with clarity
- ▹Genuine hunger to unlock new capabilities and an obsession with shipping
Nice to have
- ▹Having owned a major model generation or capability jump end-to-end, from training runs to product deployment
- ▹Working across both pre-training and post-training stages on the same model family with accountability for both
- ▹Operating at scale: large distributed training runs, significant compute budgets, multi-million hour data pipelines
- ▹Applying alignment and fine-tuning techniques in a video or multimodal context, not just text
- ▹Experience with human feedback pipelines applied to generative video or audio
- ▹Leading or significantly influencing the technical direction of a research team while remaining hands-on
Soft skills
Clear and direct communication across research and productLeads by example and inspires through craftStays personally present at the hardest parts of the work