ai-coustics is building the reliability layer for Voice AI, the system that closes the gap between raw audio input and reliable machine understanding in production. By combining state-of-the-art speech and audio research with real-time, production-grade SDKs, we test, observe, and enable Voice AI systems to work in any environment.
Our software is used by Voice AI companies across Europe and the United States whose products require reliable performance at scale: call center agents, voice agents, telephony apps, and enterprise voice assistants. We believe voice will become the main interface for technology and ai-coustics is building the foundational infrastructure to make audio input reliable, measurable, and easy to deploy.
We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. These partners share our vision and are helping us build a world-class team operating with high levels of responsibility and velocity. We look for people who take ownership, think systemically, and want to solve challenging real-world problems in close collaboration with our customers. If you’re motivated by developing technology that is used in practice, shaping an emerging category and setting a new standard for how Voice AI works in the real world, you’ll feel at home at ai-coustics.
Tasks
- Model development & deployment: Design, implement, train, evaluate, optimize, and deploy deep learning models for speech enhancement related audio problems.
- Data-centric machine learning: Build, curate, and refine custom datasets and complex audio simulation pipelines for training and evaluation to understand and improve model performance for real-world production use-cases.
- MLOps & tooling: Help us to continuously improve our internal tools, pipelines, and infrastructure to accelerate iteration and ensure reliability.
- Demonstrating value: Collaborate with sales and developer relations on case studies, documentation, demos, and technical content.
Requirements
- 3+ years of hands-on experience solving non-trivial machine learning problems end-to-end — including data collection/simulation, training, evaluation, debugging, and deployment in real systems.
- Strong expertise in audio and speech processing - you understand the quirks, challenges, and beauty of sound. Ideally you have experience in audio sequence-to-sequence modeling and got your hands dirty working on speech enhancement, source separation, speaker diarization, speech-to-text, text-to-speech, or similar.
Benefits
- Opportunity to work at a rapidly growing Voice AI startup, backed by top investors.
If you are ready to lead the charge in revolutionizing Voice AI and drive our startup to new heights, we would love to hear from you. Apply today to join the ai-coustics team!
