ML Research Engineer

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

We’re looking for a Machine Learning Research Engineer with a deep understanding of the audio modality, a strong track record of developing and deploying custom deep learning models, as well as designing specialized data pipelines, and the drive to create real-world impact beyond academic benchmarks. Join a small, focused team building the core algorithms behind our products, where you'll take full ownership of the machine learning lifecycle. The role is on-site in Berlin.

• 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.

• 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.
• Expert-level proficiency with PyTorch and its ecosystem as well as familiarity with cloud-based training setups, experiment tracking tools, and modern development practices. You write clean, modular, production-ready code.
• A startup mindset: You’re comfortable with ambiguity, move fast when it matters, take initiative, and focus on building, shipping, and winning customers. Ideally, you have worked in a start-up before or gained experience in a fast-paced, product-centric environment.

• 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!