Talent Pool: Audio Data Engineering & Machine Learning gesucht in Berlin

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., 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.
• MLOps & Tooling: Improving our internal infrastructure and cloud-based training setups to accelerate iteration and ensure high-quality code deployment.
• Cross-Functional Impact: Collaborating with Sales and DevRel to translate technical breakthroughs into compelling demos, case studies, and customer-facing benchmarks.

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.
• Hands-on Experience: 3+ years of experience solving non-trivial ML or Data problems end-to-end-including data curation, training, debugging, and evaluation.
• A Scientific Mindset: You take evaluation seriously. You prefer meaningful, trustworthy metrics over "vanity" numbers and enjoy digging into data to find why a model fails.
• Startup DNA: You are comfortable with ambiguity, take high levels of ownership, and are motivated by building and shipping products that customers actually use.

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! Qualifikation: Befristet: n.a. Verdienst: n.a. Bewerbung an: ai-coustics

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.