At a Glance
- Tasks: Research and develop cutting-edge voice synthesis models for next-gen audio technology.
- Company: Join Brahma, a pioneering AI company transforming creative industries.
- 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 media technology.
- Qualifications: Strong machine learning background with hands-on experience in speech/audio 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.
About BRAHMA AI: BRAHMA AI is the next generation of enterprise media technology formed through the integration of Prime Focus Technologies and Metaphysic. By combining CLEAR®, CLEAR® AI, ATMAN, and VAANI into one ecosystem, BRAHMA AI enables enterprises to manage, create, and distribute content with intelligence, security, and efficiency. Proven, scalable, and enterprise-tested, BRAHMA AI is helping global organizations accelerate growth, efficiency, and creative impact in the AI-powered era.
Machine Learning Researcher (Speech/Audio) employer: BRAHMA
Brahma is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among leading creative technologists and AI innovators. With a focus on employee growth, Brahma provides opportunities to work on cutting-edge projects in a remote-first environment, ensuring that team members can thrive while contributing to the future of voice synthesis technology. Located within the DNEG Group, employees benefit from being part of a pioneering enterprise AI company that values ethical creation and empowers its workforce to push the boundaries of creativity and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher (Speech/Audio)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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, especially those related to voice synthesis or machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and case studies in speech synthesis. Practice explaining your past projects clearly and confidently, as communication is key in collaborative environments.
✨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 about their job search!
We think you need these skills to ace Machine Learning Researcher (Speech/Audio)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Researcher role. Highlight your experience with voice synthesis, TTS, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about speech synthesis and how you can contribute to our team. Be sure to mention any specific technologies or frameworks you’ve worked with that are relevant to the role.
Showcase Your Projects:If you've got any projects or research papers related to machine learning or audio processing, don’t forget to include them! We love seeing practical applications of your skills, so share links or summaries of your work.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take the initiative to apply directly!
How to prepare for a job interview at BRAHMA
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest voice synthesis models, especially TTS and voice cloning. Be ready to discuss your hands-on experience with frameworks like PyTorch and any specific projects you've worked on that relate to speech/audio.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in machine learning or deep learning. Think about times when you had to work autonomously or adapt to new technologies, as this will resonate well with their remote-first environment.
✨Stay Current with Trends
Familiarise yourself with the latest academic and industrial trends in speech synthesis. Being able to discuss recent advancements or techniques for emotional expressiveness and multilingual synthesis will show your passion and commitment to the field.
✨Collaborate and Communicate
Since you'll be working closely with product and creative teams, practice articulating your ideas clearly. Prepare to discuss how you would integrate your models into production-ready pipelines and ensure they meet quality constraints.
