Senior Audio AI Research Engineer (Audio AI)

Location: London, United Kingdom

Company

hirify.global develops video collaboration products and real-time audio technologies used in conference rooms and by organizations worldwide.

What you will do

• Research and mature Audio AI solutions for real-time video collaboration experiences.
• Develop multimodal systems using distributed microphone arrays, cameras, participant positioning, and multiple audio and video streams.
• Optimize Audio AI pipeline integration while improving robustness against noise, reverberation, echo, and bias.
• Build low-latency, real-time causal AI streaming solutions and advance research prototypes toward deployment.
• Rapidly prototype and extend research papers through data augmentation, FFT parameter tuning, auxiliary tasks, and loss-function optimization.
• Collaborate with deployment, quantization, C++ optimization, academic, and industry research teams.

Requirements

• 4+ years of experience with TensorFlow or PyTorch and a record of building machine learning pipelines in the audio domain.
• Strong Python skills, including package development and collaborative coding practices.
• Comprehensive knowledge of modern AI methods, including diffusion, flow matching, transformers, and GANs.
• Experience with ML system performance analysis, optimization, and deployment using TensorFlow Lite, ONNX, TVM, or Glow.
• Familiarity with cloud compute, AWS, data ingestion pipelines, GitHub, and Jira.
• PhD or equivalent experience in Computer Science, Audio or Acoustics, Electrical Engineering, Physics, or a related field.

Nice to have

• Research publications at conferences such as ICASSP or Interspeech.
• Knowledge of audio engineering, acoustics, embedded systems, and their constraints.
• Experience with data-driven algorithm tuning, metadata evaluation, and acoustic simulations.

Culture & Benefits

• Collaborative research environment combining a small-team atmosphere with the resources of a global organization.
• Opportunity to collaborate with research institutions and PhD-level interns.
• Flexible working environments and a hybrid work model across hirify.global teams, with arrangements varying by role and location.
• Benefits packages and support for physical, financial, emotional, intellectual, and social wellbeing.