At a Glance
- Tasks: Research and develop cutting-edge generative video models for lifelike animations.
- Company: Join Brahma, a pioneering company in AI-native products within the DNEG Group.
- Benefits: Competitive salary, remote work, and opportunities to work with industry leaders.
- Other info: Collaborate with a world-class team in a dynamic, remote-first environment.
- Why this job: Push the boundaries of AI technology and create impactful, innovative content.
- Qualifications: Strong background in machine learning, Python, and experience with video synthesis tasks.
The predicted salary is between 36000 - 60000 £ per year.
Brahma is a pioneering company developing AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content.
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.
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.
- 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.
- 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.
Machine Learning Researcher (Brahma) in London employer: DNEG Group
Brahma is an exceptional employer that fosters a collaborative and innovative work culture, where creativity meets cutting-edge technology. As part of the DNEG Group, employees benefit from working alongside industry leaders in AI and generative content, with ample opportunities for professional growth and development. Located in a dynamic environment, Brahma offers a unique chance to contribute to groundbreaking projects while enjoying a supportive atmosphere that values ethical practices in AI creation.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher (Brahma) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models and video synthesis. It’s a great way to demonstrate what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and machine learning. Be ready to discuss your past work and how it relates to the role at Brahma.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Researcher (Brahma) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and deep learning, especially in generative models. We want to see how your background aligns with the cutting-edge work we're doing at Brahma!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their expertise with our needs.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at DNEG Group
✨Know Your Models
Make sure you’re well-versed in the generative models mentioned in the job description, like WAN and Hunyuan. Brush up on their architectures and how they relate to facial expression control and lip synchronisation. Being able to discuss these models confidently will show your expertise and enthusiasm for the role.
✨Showcase Your Projects
Prepare to talk about your hands-on experience with video synthesis tasks. Bring examples of past projects where you’ve worked on face reenactment or audio-to-video generation. This not only highlights your skills but also demonstrates your ability to drive research from idea to implementation.
✨Stay Current
Familiarise yourself with the latest research in video generation and speech-driven animation. Mention any recent papers or breakthroughs that excite you during the interview. This shows that you’re proactive and genuinely interested in advancing the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or challenges they face in generative video models. This not only shows your interest in the role but also your willingness to contribute to the team’s success. It’s a great way to demonstrate your problem-solving mindset.
