🛠 Tech Stack

💼 About This Role

You'll join our Artist-First AI Music lab to pioneer state-of-the-art generative technologies for music. You'll collaborate closely with research scientists, improve model training pipelines, and integrate models into production for hundreds of millions of users.

🎯 What You'll Do

• Collaborate with research scientists on music generation models.
• Debug distributed training and optimize data loading at scale.
• Profile and accelerate training and inference code.
• Deploy models into production for hundreds of millions of users.

📋 Requirements

• Experience training or fine-tuning large ML models on GPUs using PyTorch.
• Experience with cloud platforms like Google Cloud Platform, AWS, or Azure.
• Ability to debug problems in ML training code.
• Strong communication skills for global team collaboration.

✨ Nice to Have

• Experience with low-level debugging tools like lldb or NVIDIA Nsight.
• Interest in audio processing and music information retrieval.
• Solid grasp of computer science concepts like type systems and parallelism.

🎁 Benefits & Perks

• 🎵 Flexible work hours with core overlap in EST time zone.
• 🏠 Remote work within North America.
• 💰 Competitive compensation and equity.
• 🏖️ Generous PTO and paid holidays.
• 📚 Learning and development budget.

🚩 Heads Up

• Role mixes research engineering and production deployment, potentially requiring broad skill set.
• Expectation to stay updated with rapid AI developments may lead to burnout.