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 youre 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 youll feel at home at ai-coustics.

Role Overview

Were 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 youll take full ownership of the machine learning lifecycle. The role is on-site in Berlin.

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.
• 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: Youre 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.

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 companys 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!

Key Skills
Robotics,Machine Learning,Python,AI,C/C++,OS Kernels,Research Experience,Matlab,Rust,Research & Development,Natural Language Processing,Tensorflow
Employment Type : Employee
Experience: years
Vacancy: 1