Senior Research Engineer

📋 Description

• Collaborate with research scientists on music generation projects.
• Improve and scale model training pipelines for large ML models.
• Profile and accelerate training and inference to speed experiments.
• Deploy models into production for hundreds of millions of users.
• Translate research ideas into robust, production-ready prototypes.
• Maintain a high-quality, scalable codebase shared across teams.

🎯 Requirements

• Experience training or fine-tuning large ML models on GPUs using PyTorch.
• Proficiency with cloud platforms: Google Cloud Platform, AWS, and Microsoft Azure.
• Strong debugging skills in ML training code.
• Effective written and spoken communication with global teams.
• Experience optimizing performance for GPU-based training.
• Willingness to learn quickly and stay current in ML/AI.
• Familiarity with low-level debugging tools such as NVIDIA Nsight or LLDB.
• Interest in audio processing and music information retrieval.