Machine Learning Researcher
# Machine Learning Researcher **BRAHMA AI** · United Kingdom · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Research]` `[Computer-Vision]` `[Generative-AI]` `[Video-Research]` `[Deep-Learning-Engineering]` `[Machine-Learning-Researcher]` `[Machine-Learning-Research-Scientist]` `[Machine-Learning-Scientist]` `[Machine-Learning-Research-Engineer]` `[ML-Research-Scientist]` `[Deep-Learning-Researcher]` `[AI-Researcher]` `[AI-ML-Research-Scientist]` --- ### About the Role Job Description: We are seeking a Machine Learning Researcher to join our team and help advance the state of the art in human-centric generative video models. Your work will focus on improving expression control, lip synchronisation, and overall realism in models such as WAN and Hunyuan. You’ll collaborate with a world-class team of researchers and engineers to build systems that can generate lifelike talking-head videos from text, audio, or motion signals—pushing the boundaries of neural rendering and avatar animation. We are hiring remotely across the EMEA region. Key Responsibilities - 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. Must Haves - 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. Nice to Have - PhD in Computer Vision, Machine Learning, or a related field, with publications in top-tier conferences (CVPR, ICCV, ICLR, NeurIPS, etc.). - Familiarity with or contributions to open-source projects in lip sync, video generation, or 3D face modelling. - Experience with real-time inference, model optimisation, or deployment for production applications. - Knowledge of adjacent areas like emotion modelling, multimodal learning, or audio-driven animation. - Experience working with or adapting models like WAN, Hunyuan or similar. Originally posted on Himalayas
- Machine-Learning-Research
- Computer-Vision
- Generative-AI
- Video-Research
- Deep-Learning-Engineering
- Machine-Learning-Researcher
- Machine-Learning-Research-Scientist
- Machine-Learning-Scientist
- Machine-Learning-Research-Engineer
- ML-Research-Scientist
- Deep-Learning-Researcher
- AI-Researcher
- AI-ML-Research-Scientist
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).