Staff ML Engineer, Audio — Build Audio Productivity Tools

Latitude; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation support

Family health insurance

Open PTO

Retirement benefits

Life insurance

Parental leave

Disability coverage

Play Fund

Donations to non-profits

Job summary

Riot Games Singapore Efficiency team seeks a Staff Machine Learning Engineer, Audio, to develop tools that streamline audio production and empower sound designers. You will collaborate with audio engineers and designers to reduce repetitive editing and accelerate the workflow while advancing state-of-the-art audio ML capabilities.

You will apply deep expertise in audio ML, build end-to-end ML solutions, and mentor junior engineers, contributing to impactful projects in a fast-paced gaming

Qualifications

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning, Data Science, or AI.
• Deep expertise in audio ML including generative audio, neural vocoders, TTS/voice conversion, music modeling, and audio representation learning.
• 5+ years applying ML to real-world problems with end-to-end ML solutions in Audio in fast-paced environments.
• Evidence of state-of-the-art approaches through publications or shipped audio projects/open-source/production systems.
• Proficiency in Python, C/C++, or C# and hands-on with PyTorch, TensorFlow, or JAX.
• Strong statistical analysis, experimental design, and evaluation techniques.
• Hands-on experience with Generative Models for audio; experience with diffusion, VAEs, autoregressive/transformer models.
• Excellent communication and leadership skills; mentoring and cross-functional collaboration desirable.

Responsibilities

• Build assistive audio tooling using audio processing, voice/speech, and music techniques to remove repetitive steps in the sound designerâs workflow.
• Partner with sound designers and audio engineers to target costly authoring and editing work and ship tooling that shortens it.
• Define and run evaluations for audio quality and quantify the time saved for audio teams.
• Follow developments in audio and speech ML and assess what holds up under production constraints.

Skills

Audio ML

Python

C++

PyTorch

Machine Learning

Communication skills

Leadership

Education

Master’s or Ph.D. in CS/Statistics/Math or related field

Tools

PyTorch

TensorFlow

JAX

Job description

Riot Games Singapore Efficiency team seeks a Staff Machine Learning Engineer, Audio, to develop tools that streamline audio production and empower sound designers. You will collaborate with audio engineers and designers to reduce repetitive editing and accelerate the workflow while advancing state-of-the-art audio ML capabilities.

You will apply deep expertise in audio ML, build end-to-end ML solutions, and mentor junior engineers, contributing to impactful projects in a fast-paced gaming