Multimedia Quality Evaluation Engineer (AI)

TL;DR

Multimedia Quality Evaluation Engineer (AI): Establishing a comprehensive quality evaluation system for multimedia AI capabilities, covering audio algorithms, model performance, and real-world mobile use cases with an accent on audio algorithms, model performance, and real-world mobile use cases. Focus on defining how AI-driven audio should sound and identifying complex audio artifacts or performance bottlenecks.

Location: Beijing, China

Company

hirify.global revolutionizes how people create, deliver, and enjoy entertainment worldwide.

What you will do

• Design and implement subjective and objective audio quality assessment methodologies.
• Utilize Python for advanced audio signal analysis.
• Develop and maintain automation scripts for audio processing and data collection.
• Identify and resolve complex audio artifacts or performance bottlenecks.
• Collaborate with Research, System, and Product teams to drive issue resolution.

Requirements

• Bachelor’s degree or higher in Audio Engineering, Music Engineering/Technology, or a related field.
• Solid understanding of Digital Signal Processing (DSP) fundamentals.
• Proficiency in Python for data analysis and scripting.
• Familiarity with Deep Learning applications in audio.
• Excellent English communication skills.

Nice to have

• Experience in Subjective Listening Tests (MOS, MUSHRA, etc.).
• Hands-on experience in Music Production, Recording, Mixing, or laboratory acoustics.
• Experience with PyTorch or TensorFlow for model inference or evaluation.
• Previous involvement in audio algorithm research or commercial audio projects.
• International study background or experience in cross-cultural professional environments.

Culture & Benefits

• A genuine, long-term interest in the future of AI-driven audio/video.
• An eagerness to evolve alongside product-level quality systems.