About us
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.
This is an invitation to join our Talent Pool. We are constantly looking for engineers and researchers. Whether your strength lies in designing deep learning architectures or building the robust data foundations that make those models possible, we want to know who you are. By applying here, you’ll be the first person we call when a specific headcount opens up in our ML or Data Engineering tracks.
Tasks
Depending on your focus (ML Research or Data Engineering), your journey with us will involve:
- Model Innovation: Designing, training, and optimizing deep learning models for speech enhancement, source separation, and sequence-to-sequence audio problems.
- Data Architecture: Owning the lifecycle of audio datasets—from sourcing and recording to building complex synthetic simulation pipelines that reflect real-world acoustics.
- Evaluation Rigor: Developing sophisticated diagnostics and benchmarking tools to ensure our models don’t just work in the lab, but thrive in messy, real-world VoIP and recording environments.
Requirements
We are looking for "audio-first" engineers. Ideally, you bring:
- Audio Expertise: A deep understanding of digital signal processing (DSP), room acoustics, reverberation, and common noise artifacts. You know how these manifest in voice AI pipelines (VAD, STT, TTS).
- Technical Depth: Expert-level proficiency in Python and PyTorch. You write clean, modular, and production-ready code.
Benefits
Opportunity to work at a rapidly growing Voice AI startup, backed by top investors.
Compensation and equity: Competitive salary package, additional benefits and stock options, enabling you to take part in the company’s success.
Startup Culture: Dynamic, fast-paced environment with passionate and collaborative colleagues.
High Impact: Groundbreaking startup at a pivotal growth stage, making a real difference in how people experience audio.
Ownership & Autonomy: Take full ownership of projects and ship fast.
Work With the Best: World-class team of engineers and builders with ample room for professional growth.
Contribute to the Future: Define the landscape of Voice AI technology.
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!
