🛠 Tech Stack

💼 About This Role

You'll design and ship LLM-based solutions that give users more adaptive control over their listening experience. You'll work at the intersection of machine learning, music understanding, and user experience. Join a team building personalized recommendation systems used by hundreds of millions of listeners worldwide.

🎯 What You'll Do

• Design, build, evaluate, and ship LLM-based solutions
• Work on prompted playlist experiences with music fulfillment
• Collaborate with user research, design, data science, product, engineering
• Prototype new ML approaches and bring them into production
• Build and improve systems connecting artists and fans

📋 Requirements

• Machine learning background with production experience
• Experience with LLM-based systems and reinforcement fine-tuning
• Proficiency with large-scale data processing tools like Apache Beam or Apache Spark
• Experience with cloud platforms such as GCP or AWS

✨ Nice to Have

• Experience with generative AI and natural language processing
• Background in designing modular ML architectures
• Experience in personalized recommendation systems

🎁 Benefits & Perks

• 🏖️ Flexible work arrangements
• 🏢 Collaborative office environment in New York
• 💼 Work at global scale impacting millions of users

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interviews· half day