The role requires an AI Audio Engineer / Machine Learning Engineer with expertise in audio signal processing, machine learning, and generative audio to design and implement AI-driven tools for sonic branding. You will collaborate with a creative team to build systems that generate sound logos, motifs, and dynamic audio identities with a clean, recognizable, and modern aesthetic. The project scope includes developing an AI tool capable of automating aspects of audio production workflows and delivering innovative, brand-specific sound solutions. Deliverables will be reviewed in collaborative milestones over a 6–8 week period, with an emphasis on portfolio work that demonstrates innovation in audio and AI at the intersection of technology and branding.
Requirements
- Strong expertise in audio signal processing and machine learning
- Experience with frameworks such as TensorFlow and PyTorch
- Practical knowledge of music information retrieval (MIR) techniques
- Proven experience with generative AI audio models (e.g., WaveNet, Jukebox)
- Proficiency in Python and familiarity with audio libraries (e.g., librosa, torchaudio)
- Knowledge of digital audio workstations and modern production workflows
- Understanding of sonic branding principles and techniques
- Ability to create clean, modern, and brand-aligned audio outputs
- Strong portfolio showcasing previous work in audio AI or sonic branding
- Background in marketing or media is a plus
- Excellent communication and collaboration skills for remote teamwork
- Availability to work full-time on contract for the project timeline
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- Posted
- Aug 21, 2025
- Type
- Contract
- Level
- Associate
- Location
- United Arab Emirates
- Company
- Twine
Industries
Categories
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