Staff Research Engineer - Interactive Avatars
synthesia · London
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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Published 1 week ago
Expires 1 month from now
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synthesia
London
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