AI Audio Engineer
Job Summary
Job Description
Brahma, a pioneering enterprise AI company, is seeking a talented AI Audio Engineer to enhance their voice AI pipeline. The role involves preparing and refining high-quality vocal data for model training, collaborating with AI engineers to improve voice AI outputs, and assessing the realism and clarity of AI-generated voices. Key responsibilities include cleaning and enhancing audio, managing audio datasets, collaborating with development teams, providing expert feedback, and staying updated on industry trends. This role requires expertise in audio engineering and vocal processing. The ideal candidate should have strong communication and teamwork skills to thrive in a collaborative environment.
Must have:
- Proven audio engineering experience, with a focus on voice work and vocal processing.
- Expertise in audio tools like Pro Tools and Izotope.
- Strong grasp of audio processing techniques.
- Foundational understanding of voice model training.
- Exceptional communication and teamwork skills.
Good to have:
- 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.
5 skills required
Job Details
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.
Must Haves
- 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.
Nice to Have
- 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.
About You
- 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.
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