Machine Learning Engineer (Audio / Speech)
A fast-growing startup at the intersection of AI and audio technology is seeking a Machine Learning Engineer with a passion for sound and a proven track record of training and deploying models. The company builds cutting-edge speech enhancement products that turn any audio -- live or recorded -- into studio-quality output in real time. With over half a million users, millions of processed audio files, and partnerships with major audio brands, the team is entering an exciting phase of product innovation and expansion.
About the Company
This startup is developing the quality layer for Voice AI. Recently backed by top-tier international investors in a $5M Seed round, the company is positioned for rapid growth and impact in the generative audio space. The in-person team in Berlin consists of dedicated audio and technology enthusiasts who value speed, ownership, and strong collaboration. The environment is open, inclusive, and built for those who want to make a tangible impact.
About the Role
As a Machine Learning Engineer, you'll be a core member of the ML team building the algorithms powering real-time audio enhancement. You'll have full ownership of the ML lifecycle -- from data to deployment -- and help shape how the next generation of audio is experienced.
Responsibilities
- Model Development & Deployment: Design, train, evaluate, optimize, and deploy deep learning models for speech enhancement, for both cloud and edge use cases.
- Data-Centric Development: Build and maintain datasets, simulation pipelines, and evaluation frameworks.
- MLOps & Tooling: Improve internal ML tools, pipelines, and infrastructure to enable fast, reliable development and deployment.
Requirements
- 5+ years of hands-on experience developing and deploying custom deep learning models.
- Deep knowledge of audio and speech processing, with practical experience in related applications.
- Experience with sequence-to-sequence and generative models.
- Advanced proficiency in PyTorch and its ecosystem.
- Comfortable working with cloud-based training, experiment tracking tools, and production-ready code practices.
- Startup mindset --- proactive, adaptable, and focused on delivering value over perfection.
Benefits
- Competitive Compensation: Attractive salary package and additional benefits.
- Stock Options: Early team members receive equity in the company's growth.
- Learning Environment: Work alongside a highly skilled team of audio and ML experts.
- Dynamic Culture: Fast-paced, mission-driven workplace with collaborative colleagues.
- Professional Growth: Define your own trajectory as the company scales.
- Meaningful Impact: Help shape the future of how people interact with audio and voice.
Join the Team
If you're driven to build real-world products that push the boundaries of generative audio, we want to hear from you. Apply now to be part of this exciting journey.