Artificial Intelligence Engineer

[ABOUT THE ROLE] 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 About Twine Twine is a leading marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Our Mission Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.