
11 - 50 employees
Founded 2022
₿ Crypto
💳 Fintech
🔌 API
💰 $4.2M Seed Round - Brahma on 2022-02
Crypto • Fintech • API
Brahma is a developer-focused orchestration layer that connects onchain financial logic to offchain payment and settlement systems. It enables programmable capital flows across blockchains, strategies, and traditional payment rails, providing smart accounts, automated agents, and programmable card issuance so apps can turn onchain positions into real-world spending. Brahma abstracts infrastructure and settlement for developers, letting them build onchain or hybrid apps without running backend ops.
🕒 February 25
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
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11 - 50 employees
Founded 2022
₿ Crypto
💳 Fintech
🔌 API
💰 $4.2M Seed Round - Brahma on 2022-02
Crypto • Fintech • API
Brahma is a developer-focused orchestration layer that connects onchain financial logic to offchain payment and settlement systems. It enables programmable capital flows across blockchains, strategies, and traditional payment rails, providing smart accounts, automated agents, and programmable card issuance so apps can turn onchain positions into real-world spending. Brahma abstracts infrastructure and settlement for developers, letting them build onchain or hybrid apps without running backend ops.
• Research and develop cutting-edge generative video models, with a focus on controllable facial expression, head motion, and audio-driven lip synchronisation. • Fine-tune and extend video diffusion models such as WAN and Hunyuan for better visual realism and audio-visual alignment. • Design robust training pipelines and large-scale video/audio datasets tailored for talking-head synthesis. • Explore techniques for controllable expression editing, multi-view consistency, and high-fidelity lip sync from speech or text prompts. • Work closely with product and creative teams to ensure models meet quality and production constraints. • Stay current with the latest research in video generation, speech-driven animation, and 3D-aware neural rendering.
• Strong background in machine learning and deep learning, especially in generative models for video, vision, or speech. • Hands-on experience with video synthesis tasks such as face reenactment, lip sync, audio-to-video generation, or avatar animation. • Proficient in Python and PyTorch; familiar with libraries like MMPose, MediaPipe, DLIB, or image/video generation frameworks. • Experience training large models and working with high-resolution audio/video datasets. • Deep understanding of architectures such as transformers, diffusion models, GANs and motion representation techniques. • Proven ability to work independently and drive research from idea to implementation. • Strong problem-solving skills, ability to work autonomously in a remote-first environment.
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