🛠 Tech Stack

💼 About This Role

You'll build and scale foundational ML systems that power content understanding across Spotify, working on audio, video, text, and images. Your work will enable automation, improve quality, and unlock new product experiences for millions of listeners and creators worldwide. You'll collaborate with product, policy, and engineering teams to translate content intelligence into user impact.

🎯 What You'll Do

• Build and scale ML systems for content understanding across modalities
• Develop classification, tagging, and semantic understanding models
• Create content enrichment using LLMs and agentic systems
• Design systems to make content intelligence signals available downstream

📋 Requirements

• Experience building and deploying ML systems in production
• Proficiency with PyTorch, TensorFlow, or similar ML frameworks
• Experience working with large datasets and data quality
• Interest in multimodal machine learning

✨ Nice to Have

• Experience with LLMs and agentic systems
• Background in content quality or metadata enrichment
• Experience with evaluation frameworks and annotation systems

🎁 Benefits & Perks

• 🏖️ Flexible working hours
• 🏢 Hybrid work model with in-person collaboration
• 💰 Equity and bonus
• 🎓 Learning and development support
• 🏥 Health and wellness benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3Onsite Interviews· 4 hours