Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should have at least 5 years of experience building production machine learning systems. Proficiency in Python and PyTorch, along with experience in distributed systems, is required. Applicants must have a strong background in building and optimizing latency and throughput of machine learning systems and GPU workloads. An obsession with great user experiences and a passion for music are highly desirable.
The Machine Learning Infrastructure Engineer will design and build Suno's machine learning models and infrastructure. They will build and deploy systems comprising multiple low-latency machine learning models and optimize distributed training systems. Additionally, they will focus on enhancing the performance, joy, beauty, and feel of our products.
Platform for music creation and collaboration
Suno.com provides a platform for music creation that allows users of all skill levels to compose and produce music. The platform offers basic features for free, while advanced tools and services are available through premium subscriptions. Users can create music without needing extensive musical training, making it accessible to both professionals and hobbyists. Suno.com differentiates itself from competitors by focusing on inclusivity in music creation, enabling anyone to explore their musical creativity. The company's goal is to democratize music creation, making it easier for everyone to participate in the music-making process.