Staff Machine Learning Engineer, Audio

About the role

You will join the Singapore Efficiency team to develop machine learning tools that automate repetitive audio production tasks. By building specialized software, you will allow sound designers to dedicate more time to creative work rather than manual editing and processing.

Key facts

What you'll do

• Create assistive audio tools using voice, speech, and music processing to eliminate manual technical steps in sound design workflows.
• Collaborate with audio engineers and sound designers to identify time-consuming tasks and deploy solutions that increase efficiency.
• Establish metrics for audio quality and measure the time saved for production teams.
• Monitor advancements in speech and audio machine learning to determine which technologies are suitable for production environments.

Requirements

• Master or PhD in Computer Science, Mathematics, Statistics, or a related field with a focus on AI, Data Science, or Machine Learning.
• Minimum 5 years of professional experience delivering end-to-end machine learning solutions in audio.
• Proven expertise in generative audio, neural vocoders, music modeling, audio representation learning, and text-to-speech or voice conversion.
• Demonstrated technical contributions via shipped production systems, open-source projects, or peer-reviewed publications in venues like NeurIPS, ICASSP, INTERSPEECH, ISMIR, ICML, or ICLR.
• Strong proficiency in C, C++, C#, or Python.
• Hands-on experience with JAX, TensorFlow, or PyTorch.
• Expertise in generative models including flow matching, audio diffusion, autoregressive or transformer models, and VAEs for spectrogram or waveform modeling.
• Solid background in experimental design, statistical analysis, and evaluation methods.
• Ability to explain complex technical concepts to stakeholders without a technical background.

Nice to have

• Experience in the gaming industry or related sectors.
• Leadership experience, specifically in mentoring interns or junior staff and managing cross-functional projects.

Skills & tools

• Python, C, C++, C#
• PyTorch, TensorFlow, JAX
• Generative audio models, neural vocoders, audio diffusion, VAEs, transformers

Practical notes

• Benefits include full relocation support, comprehensive health insurance for you and your family, retirement plans with company matching, and open paid time off.
• The package includes life insurance, parental leave, disability coverage, a Play Fund for gaming, and a donation matching program.
• Job ID: REQ-0010158.