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- Tasks: Clean and enhance audio, manage datasets, and collaborate on voice AI projects.
- Company: Join Brahma, a pioneering AI company in the DNEG Group.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of AI audio technology.
- Qualifications: Experience in audio engineering, especially with voice work and industry-standard tools.
- Other info: Dynamic and collaborative culture with a focus on creativity and innovation.
The predicted salary is between 36000 - 60000 £ 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 searching for a talented AI Audio Engineer with a refined ear for voice work to strengthen our expanding voice AI pipeline. In this role, you’ll prepare and refine high-quality vocal data for model training and inference, collaborate closely with our AI engineers and development teams to boost the quality, realism and performance of our voice AI outputs.
Key Responsibilities- Clean and enhance audio: Utilise industry-standard tools (e.g., Pro Tools, Izotope) to clean, mix, and enhance vocal tracks for optimal quality.
- Manage audio datasets: Prepare and work with large audio datasets to support the training and improvement of voice AI models.
- Collaborate across teams: Partner with development and modeling teams to refine voice model outputs and elevate overall quality.
- Provide expert feedback: Creatively assess the realism, clarity, and fidelity of AI-generated voices, offering actionable insights to improve performance.
- Trends: Keep abreast of the latest advancements in audio engineering and AI to continually enhance our processes.
- Proven experience as an audio engineer, with a focus on voice work and vocal processing.
- Expertise in mainstream audio tools, including Pro Tools, Izotope, and similar platforms.
- Strong grasp of audio processing techniques (e.g., noise reduction, equalisation, compression).
- Foundational understanding of voice model training and an intuitive sense for optimisation.
- Exceptional communication and teamwork skills to thrive in a collaborative environment.
- Prior experience collaborating with AI or machine learning teams.
- Basic scripting skills or experience with Python and machine learning tools.
- Interest in machine learning workflows and voice model training.
- Proactive and self-motivated, with a strong drive to take initiative.
- Team-oriented, with a collaborative approach to achieving shared goals.
- Adaptable and flexible in responding to changing priorities or environments.
- Calm and composed under pressure, maintaining focus and efficiency.
- Strong communication abilities, both verbal and written, with confidence in engaging stakeholders at all levels.
AI Audio Engineer (Brahma) employer: DNEG Group
Contact Detail:
DNEG Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Audio Engineer (Brahma)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Brahma or similar companies. Use LinkedIn to connect and engage with their posts – it’s a great way to get noticed!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best audio work, especially any voice projects. Share it on platforms like SoundCloud or your personal website, and don’t forget to link it in your applications.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI and audio engineering trends. Be ready to discuss how you can contribute to Brahma’s innovative projects and share your insights on improving voice AI outputs.
✨Tip Number 4
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 the team at Brahma.
We think you need these skills to ace AI Audio Engineer (Brahma)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with audio engineering, especially voice work. We want to see your expertise in tools like Pro Tools and Izotope, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for the AI Audio Engineer role. Mention how your skills align with our mission at Brahma and how you can contribute to enhancing our voice AI pipeline.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 this exciting opportunity at Brahma!
How to prepare for a job interview at DNEG Group
✨Know Your Tools Inside Out
Make sure you’re well-versed in industry-standard audio tools like Pro Tools and Izotope. Familiarise yourself with their features and functionalities, as you might be asked to discuss how you’ve used them in past projects or how you would approach specific audio challenges.
✨Showcase Your Collaboration Skills
Since this role involves working closely with AI engineers and development teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication style and how you adapt to different team dynamics to achieve shared goals.
✨Stay Updated on Trends
Brahma values innovation, so demonstrate your knowledge of the latest advancements in audio engineering and AI. Bring up recent trends or technologies that excite you and discuss how they could enhance voice AI outputs, showing your proactive approach to learning.
✨Prepare for Technical Questions
Expect questions about audio processing techniques and voice model training. Brush up on noise reduction, equalisation, and compression methods, and be ready to explain how you would optimise vocal data for model training. This will show your foundational understanding and expertise in the field.
