AI Audio Engineer (Brahma)

DNEG; United Kingdom; On-site; GBP 35,000 - 55,000; Full time

Job summary

Join a leading company in AI technology as an AI Audio Engineer, focused on refining voice data for advanced AI models. You will enhance audio quality, manage datasets, and work collaboratively with developers to innovate in the evolving field of voice AI. Bring your skills in audio processing to a dynamic team at DNEG, making a tangible impact in content creation.

Qualifications

• Experience as an audio engineer focused on voice work.
• Strong grasp of audio processing techniques like noise reduction.
• Exceptional communication and teamwork skills.

Responsibilities

• Clean and enhance audio using industry-standard tools.
• Prepare and manage large audio datasets for model training.
• Collaborate with development teams to refine voice AI outputs.

Skills

Audio processing techniques

Communication skills

Collaboration

Tools

Pro Tools

Izotope

Job description

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises andcreators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliverstandout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywood’s leadingcreative 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 expandingvoice AI pipeline.In this role, you’ll prepare and refine high-quality vocal data for model training and inference, collaborate closely withour 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, offeringactionable insights to improve performance.
• Trends: Keep abreast of the latest advancements in audio engineering and AI to continually enhance ourprocesses.

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.