Position:
Staff Machine Learning Engineer, Audio
Company:
Riot Games
Location:
Singapore
Employment type:
Not Specified
Short Summary:
Riot’s Singapore Efficiency team is seeking a Staff Machine Learning Engineer to build tools that streamline audio production, allowing sound designers to focus on their craft.
Responsibilities:
- Build assistive audio tooling to eliminate repetitive tasks in sound design.
- Collaborate with sound designers and audio engineers to reduce costly authoring and editing work.
- Define and run evaluations for audio quality and measure time savings for audio teams.
- Stay updated on audio and speech ML developments and assess their production viability.
Requirement:
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field with a focus on Machine Learning.
- Deep expertise in audio ML, including generative audio and neural vocoders.
- Minimum 5 years of experience in applying Machine Learning to audio problems with a proven record of impactful solutions.
- Proficiency in programming languages such as Python, C, C++, or C#, and experience with frameworks like PyTorch or TensorFlow.
- Strong understanding of statistical analysis and evaluation techniques.
- Experience with Generative Models and excellent communication skills.
- Leadership experience is highly desirable.
Benefits:
- 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, and disability benefits
- Play Fund for community engagement through games