At a Glance
- Tasks: Research and develop cutting-edge voice synthesis models for expressive speech.
- Company: Join Brahma, a pioneering AI company in the DNEG Group.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative environment with access to industry-leading experts.
- Why this job: Be at the forefront of AI innovation and make an impact in storytelling.
- Qualifications: Strong background in machine learning, deep learning, and 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Brahma or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to voice synthesis or machine learning. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions related to TTS and audio synthesis, and be ready to discuss your past experiences in detail.
✨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.
We think you need these skills to ace Voice AI Researcher: Expressive TTS & Audio Synthesis
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with voice synthesis and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about voice AI and how your background makes you a perfect fit for our team. Let us know what excites you about working at Brahma!
Showcase Your Technical Skills:Since we’re looking for someone with hands-on experience in Python and PyTorch, make sure to mention any specific projects where you’ve used these tools. We love seeing practical examples of your work!
Apply Through Our Website:Don’t forget to apply 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!
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 frameworks like PyTorch and HuggingFace, and be ready to discuss your hands-on experience with TTS and voice cloning. This will show that you're not just a theoretical expert but someone who can apply their knowledge practically.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to audio synthesis. Whether it's a model you built or a dataset you designed, having concrete examples will help demonstrate your skills and problem-solving abilities. Don’t forget to highlight any contributions to open-source projects if you have them!
✨Collaborative Spirit
Since you'll be working closely with product and creative teams, be ready to discuss how you approach collaboration. Share examples of how you've integrated your work into production-ready pipelines and how you’ve communicated complex ideas to non-technical team members. This shows you’re a team player who values input from others.
✨Ask Smart Questions
Prepare thoughtful questions about Brahma's current projects and future directions in voice synthesis. This not only shows your genuine interest in the role but also gives you insight into whether the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!
