Talent Pool: Audio Data Engineering & Machine Learning (AI)

TL;DR

Audio Data Engineer & Machine Learning Engineer (Voice AI): Developing the reliability layer for Voice AI by creating robust data foundations and optimizing deep learning models with an accent on speech enhancement, source separation, and synthetic simulation pipelines. Focus on building production-grade SDKs and solving complex audio challenges in real-world VoIP and recording environments.

Company

hirify.global is building the reliability layer for Voice AI, bridging 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, source separation, and sequence-to-sequence audio problems.
• Own the audio dataset lifecycle, from sourcing and recording to building complex synthetic simulation pipelines.
• Develop sophisticated diagnostics and benchmarking tools to ensure model performance in messy, real-world VoIP environments.
• Improve internal MLOps infrastructure and cloud-based training setups to accelerate iteration.
• Collaborate with Sales and DevRel to translate technical breakthroughs into compelling demos and customer-facing benchmarks.

Requirements

• Deep understanding of digital signal processing (DSP), room acoustics, reverberation, and common noise artifacts.
• Expert-level proficiency in Python and PyTorch, with the ability to write clean, modular, and production-ready code.
• 3+ years of experience solving non-trivial ML or Data problems end-to-end, including curation, training, and evaluation.
• Strong scientific mindset with a focus on meaningful, trustworthy metrics over vanity numbers.
• Startup DNA: comfort with ambiguity, high ownership, and motivation to ship products that customers actually use.

Culture & Benefits

• Competitive salary package with additional benefits and stock options.
• Dynamic, fast-paced startup environment with a world-class team of engineers and builders.
• High level of ownership and autonomy to lead projects and ship fast.
• Opportunity to define the landscape of Voice AI technology at a pivotal growth stage.
• Backed by leading early-stage investors including Connect Ventures, Partech, and Inovia Capital.