Multimedia AI Model & Optimization Engineer

TL;DR

Multimedia AI Model & Optimization Engineer (AI Engineering): Develop and optimize AI audio algorithms and neural network models for mobile SoCs with an accent on audio quality assessment, model robustness, and mobile performance. Focus on designing experimental protocols, conducting perceptual and objective evaluations, and building automated testing frameworks.

Location: Beijing, China (onsite)

Company

hirify.global is a global leader in audio and multimedia technologies, revolutionizing entertainment experiences worldwide.

What you will do

• Evaluate and tune AI audio algorithms such as Noise Reduction, Spatial Audio, and Audio Enhancement for mobile scenarios.
• Conduct subjective (MOS scoring) and objective (POLQA, PEAQ, FFT) quality assessments using professional listening skills and tools.
• Perform stress tests on deep learning models for on-device inference to identify failure points and improve robustness.
• Assess inference latency, memory footprint, and power consumption of AI models on iOS/Android platforms.
• Develop automated model verification frameworks and audio processing scripts using Python and MATLAB.

Requirements

• Location: Must be based in Beijing, China for onsite work
• Bachelor’s degree or higher in ECE (Audio Track), Electrical Engineering, Computer Science, or related field.
• Strong foundation in Digital Signal Processing and basic knowledge of Machine Learning/Deep Learning frameworks (PyTorch, TensorFlow).
• Proficiency in Python and familiarity with MATLAB for signal processing and scripting.
• Excellent English skills for collaboration with global R&D teams.

Nice to have

• Internship experience in A/V labs, audio chipset companies, or major internet tech firms.
• Familiarity with multimedia frameworks on Android or iOS.
• Interest or project experience in Spatial Audio or Dolby Atmos.

Culture & Benefits

• Work at the intersection of AI research and engineering implementation in a leading multimedia company.
• Collaborate with global teams on cutting-edge AI audio technologies.
• Opportunity to apply academic knowledge to consumer products impacting worldwide entertainment.