Staff Research Engineer - Interactive Avatars
SynthesiaJob Description
📋 Description Adapt diffusion models to diverse conditioning signals (audio, motion) Develop methods for streaming infinite video sequences in real time Work on perceptual layer of interactive agents: understand user audio, reactions Improve lip-sync accuracy, motion realism, and overall visual quality Build robust evaluation frameworks and test suites for quality tracking Collaborate with the data team to define data needs and datasets 🎯 Requirements Own and execute the responsibilities listed above Strong ML (diffusion, GANs, VAEs) and computer vision background Hands-on experience with diffusion models (avatar-centric or video-focused) Proficient in PyTorch and modern ML frameworks and tooling Strong Python engineering, Git, and maintainable research code Outcome-driven, detail-oriented, and motivated to push state-of-the-art to product 🎁 Benefits Competitive compensation with salary, stock options, and bonus Hybrid work with offices in London, Amsterdam, Zurich, Munich or remote in Europe 25 days leave plus public holidays Great culture with planning and socials at hubs Additional benefits vary by location