At a Glance
- Tasks: Research and develop cutting-edge voice synthesis models for expressive TTS and audio.
- Company: Join Brahma, a pioneering AI company transforming storytelling and content creation.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative environment with access to industry-leading experts and resources.
- Why this job: Be at the forefront of AI innovation and make a real impact in voice technology.
- Qualifications: Strong machine learning background with hands-on experience in voice synthesis.
The predicted salary is between 60000 - 80000 £ per year.
Brahma is a pioneering enterprise AI company developing Astras, 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 looking for a Machine Learning Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines.
Key Responsibilities- Research and develop state-of-the-art voice synthesis models (e.g., TTS, voice cloning, speech-to-speech).
- Build and fine-tune models using frameworks like PyTorch and HuggingFace.
- Design training pipelines and datasets for scalable voice model training.
- Explore techniques for emotional expressiveness, multilingual synthesis, and speaker adaptation.
- Work closely with product and creative teams to ensure models meet quality and production constraints.
- Stay on top of academic and industrial trends in speech synthesis and related fields.
- Strong background in machine learning and deep learning, with focus on speech/audio.
- Hands-on experience with TTS, voice cloning, or related voice synthesis tasks.
- Proficiency with Python and PyTorch; experience with libraries like torchaudio, ESPnet, or similar.
- Experience training models at scale and working with large audio datasets.
- Familiarity with vocoders and transformer-based architectures.
- Strong problem-solving skills, ability to work autonomously in a remote-first environment.
- PhD degree in Computer Science/ Machine Learning and publications in top venues.
- Contributions to open-source speech research or participation in relevant benchmarks.
- Familiarity with adjacent areas like lip-syncing, audio-driven animation, or expressive speech control.
- Experience with voice datasets or proprietary pipelines.
Voice AI Researcher: Expressive TTS & Audio Synthesis in London employer: DNEG
Brahma is an exceptional employer, offering a dynamic work culture that fosters innovation and creativity in the field of AI. As part of the DNEG Group, employees benefit from collaboration with industry leaders and access to cutting-edge technology, while also enjoying opportunities for professional growth and development in a supportive, remote-first environment. With a focus on ethical AI content creation, Brahma empowers its team to push boundaries and make a meaningful impact in the world of voice synthesis.
StudySmarter Expert Advice🤫
We think this is how you could land Voice AI Researcher: Expressive TTS & Audio Synthesis in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to voice synthesis or machine learning. This could be anything from GitHub repos to demos of your work. It’s a great way to stand out and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions, especially those related to TTS and audio synthesis. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, it shows you’re genuinely interested in joining our team at Brahma and contributing to innovative AI solutions.
We think you need these skills to ace Voice AI Researcher: Expressive TTS & Audio Synthesis in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and deep learning, especially in speech/audio. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about voice synthesis and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Projects:If you've got any personal projects or contributions to open-source work related to TTS or voice synthesis, make sure to mention them! We appreciate hands-on experience, and it gives us a better idea of your practical skills.
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 – just follow the prompts and submit your materials!
How to prepare for a job interview at DNEG
✨Know Your Stuff
Make sure you brush up on the latest trends in voice synthesis and deep learning. Familiarise yourself with TTS, voice cloning, and the frameworks mentioned in the job description, like PyTorch and HuggingFace. Being able to discuss recent advancements or your own projects will show your passion and expertise.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to voice synthesis. Whether it's a model you built or a dataset you created, having concrete examples ready will help you stand out. Don’t forget to highlight any challenges you faced and how you overcame them!
✨Collaborative Spirit
Since the role involves working closely with product and creative teams, be ready to discuss your experience in cross-functional collaboration. Share examples of how you’ve successfully worked with others to integrate your research into production-ready systems.
✨Ask Smart Questions
Prepare thoughtful questions about Brahma's projects and goals. This shows your genuine interest in the company and the role. You might ask about their approach to emotional expressiveness in voice models or how they stay ahead in the rapidly evolving field of AI.
