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Senior Research Engineer - Interactive Avatars

AI / ML Engineer • Senior • Remote • Full-time • 📍 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 Interactive Avatars Team (part of a 40+ person R&D department) you work on the applied side of generative AI with a focus on avatar-centric interactive video diffusion models - shaping AI video agents that can think, act and react like humans. Your work directly impacts solutions used by over 60,000 businesses. The role is remote in Europe.

Responsibilities

  • Adapt diffusion models to incorporate diverse conditioning signals (e.g. audio, motion, interaction cues)
  • Develop methods for streaming infinitely long video sequences at real-time rates
  • Work on the perceptual layer of interactive agents, including understanding user audio and generating contextual reactions
  • Improve lip-sync accuracy, motion realism and overall visual quality in video diffusion models
  • Build robust evaluation frameworks and test suites for continuous quality tracking
  • Collaborate with the data team to define data needs and ensure high-quality datasets
  • Stay up to date with research in world models, interactive human/agent modeling and diffusion models

Requirements

  • Strong ML (e.g. diffusion, GANs, VAEs) and computer vision background with relevant industry experience
  • Hands-on experience with diffusion models (ideally avatar-centric or video-focused) and awareness of recent advances
  • Proficient in PyTorch and familiar with modern ML frameworks and tooling
  • Strong Python engineering skills, confident with git and version control, and a commitment to clean, maintainable research code
  • Outcome-driven, detail-oriented and motivated to push state-of-the-art research into real product impact

Nice to have

  • Experience with audio-conditioned video diffusion models and deep knowledge of recent video DiT architectures
  • Demonstrated ability to own the full model development pipeline end to end (data prep, model design, training, evaluation)
  • Strong publication record in areas such as world models, interactive agents or video diffusion models

Soft skills

Clear communicator of hypotheses, experiments and resultsOutcome-driven and detail-orientedFast-moving, iterative working style

What we offer

  • Competitive compensation (salary + stock options + bonus)
  • Hybrid setting with an office in London, Amsterdam, Zurich or Munich, or remote in Europe
  • 25 days of annual leave + public holidays
  • Great company culture with regular planning and socials at the hubs
  • Other benefits depending on location