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.

Role overview

As an Audio Data Engineer at ai-coustics, you will own the data foundations that power our speech and audio enhancement models. Your work sits at the intersection of audio signal processing, large-scale data pipelines, and machine learning, and directly impacts model quality, reliability, and real-world performance.

You will design, build, and maintain systems for collecting, processing, curating, and evaluating large volumes of audio data across diverse real-world conditions. This includes creating high-quality datasets, defining evaluation and benchmarking pipelines, and working closely with ML researchers and engineers to translate raw audio into measurable model improvements.

Tasks

Collect, process, manage, and analyze large-scale audio datasets for ML training and evaluation.
Design, maintain, and continuously improve data augmentation pipelines.
Develop and enhance tools and protocols for perceptual and quantitative evaluation.
Stay up-to-date on current research related to your role (e.g., non-intrusive and perceptual speech metrics, open-source datasets, pre-trained audio ML models).
Serve as the primary expert on all things data, sharing your knowledge and providing context to the team.

Requirements

You are an audio and speech expert:

You have a deep understanding of audio processing, psychoacoustics, and the audio signal chain
You know how to measure audio and speech quality quantitatively
You are an expert listener, and you can confidently identify common audio and speech artifacts and distortions

You are a skilled engineer:

You are proficient in Python and write clean, well-documented, and maintainable code
You are familiar with modern software development tools and workflows
You know how to use standard audio processing tools e.g. (ffmpeg, librosa), and you understand and can quickly integrate ML-based audio tools
You have a solid understanding of data structures and algorithms, and you know your way around modern data bases and common cloud platforms

You have a solid math and machine learning background:

You have a deep mathematical understanding of digital signal processing
You have a solid understanding of modern machine learning concepts, in particular neural networks.
You are well versed in exploratory data analysis
You are up to date with the scientific literature, understand new concepts quickly and can gauge the usefulness of approaches and tools.

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!

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