🛠 Tech Stack

💼 About This Role

You'll conduct groundbreaking research in music generation using diffusion, flow matching, or autoregressive models. You'll run large-scale experiments with Spotify's infrastructure and publish findings at top conferences. This role directly impacts products used by 700 million monthly active users.

🎯 What You'll Do

• Conduct research in music generation (diffusion, flow matching, autoregressive models).
• Run large-scale experiments using Spotify's infrastructure.
• Collaborate with cross-functional teams to create practical applications.
• Publish findings and present at top conferences.

📋 Requirements

• Ph.D. in Computer Science, Mathematics, Engineering, or related field.
• Experience in generative modeling, machine learning, or audio processing.
• Publications in venues like ICASSP, ISMIR, NeurIPS, etc.
• Strong coding in Python, PyTorch, and NumPy.

✨ Nice to Have

• Previous industry experience.
• Enthusiasm for turning research into products at scale.

🎁 Benefits & Perks

• 🏖️ Flexible remote work within North Americas region.
• 🎵 Access to Spotify's music streaming platform.
• 💰 Competitive compensation and equity.
• 🏥 Health, dental, and vision insurance.
• 📚 Professional development budget for conferences.