Audio Data Engineer And ML Researcher (AI)

TL;DR

Audio Data Engineer and ML Researcher (AI): Designing and optimizing deep learning models for speech enhancement, source separation, and sequence-to-sequence audio problems with an accent on real-world acoustics and voice AI pipelines. Focus on developing sophisticated diagnostics and benchmarking tools to ensure models thrive in messy VoIP and recording environments.

Location: Berlin, Germany

Company

hirify.global is building the reliability layer for Voice AI, the system that closes the gap between raw audio input and reliable machine understanding in production.

What you will do

• Design, train, and optimize deep learning models for speech enhancement and source separation.
• Own the lifecycle of audio datasets, from sourcing and recording to building synthetic simulation pipelines.
• Develop diagnostics and benchmarking tools to ensure models work in real-world environments.
• Improve internal infrastructure and cloud-based training setups to accelerate iteration.
• Collaborate with Sales and DevRel to translate technical breakthroughs into demos and case studies.

Requirements

• A deep understanding of digital signal processing (DSP), room acoustics, and common noise artifacts.
• Expert-level proficiency in Python and PyTorch.
• 3+ years of experience solving ML or Data problems end-to-end.
• A scientific mindset with a preference for meaningful metrics.
• Startup DNA: comfortable with ambiguity and motivated by shipping products.

Culture & Benefits

• Opportunity to work at a rapidly growing Voice AI startup backed by top investors.
• Competitive salary package, additional benefits, and stock options.
• Dynamic, fast-paced environment with passionate and collaborative colleagues.
• Take full ownership of projects and ship fast.
• World-class team of engineers and builders with ample room for professional growth.