You will join a specialized team building the core infrastructure for reliable voice processing. This role involves developing and deploying production-grade deep learning models for speech enhancement. By bridging the gap between raw audio and machine understanding, you will directly impact how voice technology performs across telephony, enterprise assistants, and call center applications globally.
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Berlin, GermanyNot Disclosed
ML Research Engineer at VC-backed Voice AI startup
Are you passionate about audio modality and deep learning? Join a fast-growing, VC-backed startup in Berlin that is building the foundational reliability layer for Voice AI. As an ML Research Engineer, you will take full ownership of the machine learning lifecycle, designing and deploying models that make audio input reliable and measurable for enterprise systems worldwide. This is a rare opportunity to work with a world-class team of builders backed by top-tier investors, focusing on solving real-world audio challenges that go far beyond academic benchmarks. If you're an expert in PyTorch and speech processing ready to shape the future of voice technology, this is the role for you.
Overview
Role overview
Company
About the company
VC-backed Voice AI startup
Responsibilities
What you will do
- Design, train, and optimize deep learning models for speech enhancement and audio sequence-to-sequence problems.
- Build and refine custom data pipelines and complex audio simulations to ensure model performance in diverse production environments.
- Collaborate with cross-functional teams to improve MLOps infrastructure and demonstrate technical value through documentation and demos.
Candidate profile
Who this is a fit for
- At least 3 years of hands-on experience solving non-trivial machine learning problems from data collection through to production deployment.
- Expert proficiency in PyTorch and deep technical expertise in audio processing, speech enhancement, or source separation.
- A startup mindset with the ability to navigate ambiguity, write production-ready code, and prioritize shipping impact for customers.
What makes it remarkable
Why this role is remarkable
- Work on the foundational reliability layer for voice technology, a field poised to become the primary human-tech interface.
- Join a high-velocity team backed by top-tier global venture capital firms and prominent industry experts from leading AI labs.
- Take full ownership of the ML lifecycle, moving beyond academic benchmarks to solve complex, real-world audio challenges at scale.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
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How does this work?
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If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
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