At a Glance
- Tasks: Research and develop cutting-edge voice synthesis models for next-gen audio technology.
- Company: Join BRAHMA AI, a leader in innovative enterprise media technology.
- Benefits: Remote work across EMEA, competitive salary, and opportunities for professional growth.
- Other info: Collaborative remote-first environment with exciting projects and career advancement.
- Why this job: Make an impact in the AI-powered era by creating expressive, natural-sounding speech.
- Qualifications: Strong background in machine learning, deep learning, and experience with voice synthesis.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Gen AI 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. We are hiring remotely across the EMEA region.
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.
Must Haves
- 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.
Nice to Have
- 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.
Gen AI Audio Researcher employer: BRAHMA
Contact Detail:
BRAHMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Audio Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend virtual meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to voice synthesis or deep learning. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the AI and audio research space. Practice explaining your past projects and how they relate to the role you're applying for.
✨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 Gen AI Audio Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Gen AI Audio Researcher role. Highlight your experience with voice synthesis models 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 voice synthesis and how your background makes you a great fit for our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects: If you've worked on any cool projects related to TTS or voice cloning, make sure to mention them! Include links to your GitHub or any publications if applicable. We’re keen to see your hands-on experience in action.
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 applications come directly from our site!
How to prepare for a job interview at BRAHMA
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest voice synthesis models and frameworks like PyTorch and HuggingFace. Brush up on your experience with TTS and voice cloning, as you’ll want to impress them with your technical knowledge.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving large audio datasets or model training. Bring examples that highlight your problem-solving skills and how you’ve tackled challenges in a remote environment.
✨Stay Current with Trends
Familiarise yourself with the latest trends in speech synthesis and related fields. Being able to discuss recent advancements or research will show your passion for the industry and your commitment to staying ahead of the curve.
✨Collaborate and Communicate
Since this role involves working closely with product and creative teams, be ready to demonstrate your collaboration skills. Share examples of how you’ve successfully worked in cross-functional teams and how you ensure quality in your work.