Senior Audio AI Research Engineer (AI)

TL;DR

Senior Audio AI Research Engineer (Audio AI): Building and maturing real-time audio AI solutions for video collaboration with an accent on multi-modal AI, distributed microphone arrays, and low-latency systems. Focus on prototyping novel algorithms from research papers, optimizing ML pipelines for robustness, and evolving research into deployment-ready products.

Location: Hybrid in London, United Kingdom

Company

hirify.global is a global leader in peripherals and video collaboration technology, focusing on creating seamless communication experiences for thousands of companies worldwide.

What you will do

• Explore and mature Audio AI solutions using multi-modal technologies (audio, video, and sensor data) for video conferencing.
• Optimize the use of distributed microphone arrays and cameras for participant identification and positioning.
• Develop low-latency, real-time causal AI systems for audio streaming and deployment.
• Rapidly prototype AI technologies by implementing and extending state-of-the-art research papers.
• Collaborate with global research institutions like EPFL, Hamburg, and Berkeley Universities.
• Address complex challenges regarding noise, reverberation, and echo to enhance system robustness.

Requirements

• PhD or equivalent experience in Computer Science, Audio/Acoustics, Electrical Engineering, or Physics.
• 4+ years of experience with TensorFlow or PyTorch building ML pipelines specifically in the audio domain.
• Proficiency in Python, including package development and collaborative coding practices.
• Hands-on experience deploying ML systems using TF Lite, ONNX, TVM, or Glow.
• Experience with AWS cloud compute environments and data ingestion (TF Data pipelines).
• Must be based in London, UK to support the hybrid work model.

Nice to have

• Track record of research publications in ICASSP and Interspeech.
• Deep knowledge of Audio Engineering and Acoustics.
• Understanding of embedded systems and their hardware constraints.

Culture & Benefits

• Flexible hybrid work model combining remote and on-premises work.
• Opportunity to work in a new Audio AI lab with a high concentration of PhD-level talent.
• Comprehensive and competitive benefits packages focused on physical, financial, and emotional wellbeing.
• Inclusive global culture that values diversity and professional growth.