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Staff Research Engineer - Interactive Avatars

synthesia · London

New
Hybrid 🇬🇧 English
diffusion models GANs VAEs computer vision PyTorch Python git

Job description

About the role

As a Staff Research Engineer you will join Synthesia’s Interactive Avatars team within the R&D department, tackling cutting‑edge challenges in generative AI and avatar‑centric video diffusion models. You will work on applied research that directly powers products used by thousands of businesses worldwide.

Key responsibilities

  • Adapt diffusion models to incorporate diverse conditioning signals such as audio, motion, and interaction cues.
  • Develop methods for streaming infinitely long video sequences at real‑time rates.
  • 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.

Required profile

  • Strong background in machine learning, especially diffusion models, GANs, VAEs, and computer vision.
  • Hands‑on experience with diffusion models for avatars or video, and familiarity with recent advances.
  • Proficient in PyTorch and modern ML tooling, with solid Python engineering skills.
  • Comfortable owning end‑to‑end model development, from data preparation to training and evaluation.

Required skills

  • Python
  • PyTorch
  • Git / version control
  • Diffusion models
  • GANs
  • VAEs
  • Computer vision

What we offer

  • Competitive compensation (salary, stock options, bonus).
  • Hybrid work setting with offices in London, Amsterdam, Zurich, Munich or remote in Europe.
  • 25 days of annual leave plus public holidays.
  • Strong company culture with regular planning and social events.

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Source : ats:ashby

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Published 12 hours ago

Expires 1 month from now

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synthesia

London