Staff Machine Learning Engineer, Audio - Singapore Efficiency Team

About Riot Games and the Role

Founded in 2006 by gamer entrepreneurs, Riot Games has always prioritized player-centric game development, leading to creations like League of Legends, the world’s most-played PC game with over 100 million monthly players. The Singapore Efficiency team aims to empower creative teams by developing tools that reduce tedious audio production tasks, letting sound designers focus on their craft.

As a Staff Machine Learning Engineer focused on Audio, you will report to the Senior Manager and design tools that automate and streamline repetitive audio processing and asset management, enhancing productivity for sound teams.

Key Responsibilities

• Create smart audio assistance tools employing audio processing, voice, speech, and music ML techniques to remove mundane technical steps from sound designers' workflows.
• Collaborate closely with sound designers and audio engineers to identify time-consuming editing and authoring tasks and deliver solutions that significantly reduce these efforts.
• Establish and conduct evaluations of audio quality and measure the efficiency gains provided to audio teams.
• Stay updated on advancements in audio and speech machine learning and assess their feasibility under production constraints.

Required Qualifications

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related disciplines, concentrating on Machine Learning, Data Science, or AI.
• Extensive expertise in audio machine learning, including generative audio models, neural vocoders, text-to-speech, voice conversion, music modeling, and audio representation learning.
• A minimum of 5 years applying ML solutions to real-world audio challenges, with proven delivery of impactful end-to-end projects in fast-paced settings.
• Demonstrable contribution to state-of-the-art approaches through publications in top-tier conferences (e.g., ICASSP, INTERSPEECH, ISMIR, NeurIPS, ICML, ICLR) or successful projects, open-source tools, or production systems pushing audio technology boundaries.
• Proficient in programming languages such as Python, C, C++, or C#, coupled with strong experience using ML frameworks like PyTorch, TensorFlow, or JAX.
• Solid understanding of statistical methods, experimental design, and evaluation strategies.
• Hands-on experience with generative models—such as audio diffusion, flow matching, VAEs, autoregressive/transformer architectures—for waveform or spectrogram modeling to create artist-assistive tools and accelerate technical workflows.
• Exceptional communication skills to translate complex technical concepts effectively to non-technical audiences.
• Leadership capabilities, including mentoring junior engineers and collaborating cross-functionally, are highly valued.

Preferred Qualifications

• Experience within the gaming industry or related sectors is a positive asset.

Candidate Success Factors

Success in this role hinges on technical mastery, collaborative mindset, and player-centric decision-making, with an emphasis on empathy for player experiences and a genuine passion for games.

Benefits and Perks

• Comprehensive relocation assistance.
• Comprehensive health insurance covering employee, spouse, and children.
• Flexible paid time off policy.
• Retirement savings with company matching contributions.
• Life insurance, parental leave, short-term and long-term disability benefits.
• Play Fund to expand your connection and knowledge about our players and community.
• Company matching for your time and monetary donations to nonprofits.

Additional Information

Compensation: For Singapore roles, the base salary ranges from SGD 149,900 to SGD 254,800 annually.