Staff Machine Learning Engineer, Audio - Singapore Efficiency Team

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 was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut titleLeague of Legendsto critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve theLeague of Legendsexperience.

We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints.

That's where you come in.

Riot’s Singapore Efficiency team builds the technology that lets our creative teams do their best work. In audio, a lot of a sound designer’s day goes to repetitive editing, processing, and asset management rather than to the sound design itself, and that is the gap we want to close. You will be reporting to the Senior Manager, Machine Learning Engineer.

As a Staff Machine Learning Engineer, Audio, you’ll build tools that handle the tedious and technical parts of audio production so sound designers and audio teams can focus on the craft of sound.

Responsibilities:

• Build assistive audio tooling, drawing on audio processing, voice/speech, and music techniques, to remove repetitive and technical steps from the sound designer’s 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 returned to audio teams.
• Follow developments in audio and speech ML and judge what holds up under production constraints.

Required Qualifications:

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
• Audio specialization: Deep, proven expertise in audio ML, covering generative audio, neural vocoders, text-to-speech/voice conversion, music modeling, and audio representation learning.
• At least 5 years of experience applying Machine Learning to real-world problems, with a demonstrated record of delivering impactful, end-to-end ML solutions in Audio in a fast-paced environment.
• Evidence of working on state-of-the-art approaches, demonstrated through peer-reviewed publications (e.g. ICASSP, INTERSPEECH, ISMIR, NeurIPS, ICML, ICLR) and/or shipped projects, open-source contributions, or production systems in Audio that pushed the technical frontier.
• Proficiency in programming languages such as Python, C, C++, or C#, and strong hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX.
• Strong understanding of statistical analysis, experimental design, and evaluation techniques.
• Deep, hands-on experience with Generative Models, including audio diffusion and flow matching models, VAEs, and autoregressive/transformer models for waveform or spectrogram modeling, applied to building artist-assistive tools and accelerating technical steps in the audio pipeline.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Leadership experience, including mentoring junior team members and interns and driving cross-functional collaboration, is highly desirable.

Desired Qualifications:

• Experience working in the gaming industry or a related field is a plus.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

• Full relocation support
• Full health insurance for you, your spouse and children
• Open paid time off
• Retirement benefits with company matching
• Life insurance, parental leave, plus short-term and long-term disability
• Play Fund so you can broaden and deepen your knowledge of our players and community through games
• We will double down on your donations of time and money to non-profits