Staff Machine Learning Engineer, Audio - Singapore Efficiency Team
Riot Gamesabout 4 hours ago
Responsibilities
- Build assistive audio tooling to streamline sound design workflows.
- Partner with sound designers to identify and reduce costly editing tasks.
- Define and run evaluations for audio quality and efficiency gains.
- Stay updated on audio and speech ML developments and assess their production viability.
Requirements
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning.
- Deep expertise in audio ML, including generative audio and text-to-speech techniques.
- At least 5 years of experience applying Machine Learning in real-world audio problems.
- Evidence of working on state-of-the-art audio ML approaches through publications or projects.
- Proficiency in programming languages such as Python, C, C++, or C#, and experience with ML frameworks like PyTorch or TensorFlow.
- Strong understanding of statistical analysis and experimental design techniques.
- Hands-on experience with Generative Models for audio applications.
- Excellent communication skills for conveying technical concepts to non-technical stakeholders.
- Leadership experience in mentoring and cross-functional collaboration is 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.
- Support for donations of time and money to non-profits.