🛠 Tech Stack

💼 About This Role

You'll apply Large Language Models to understand music, podcasts, and audiobooks at Spotify. Your work will directly improve recommendations for hundreds of millions of users through products like Discover Weekly. You'll collaborate with a supportive cross-functional team and grow your skills in ML engineering at scale.

🎯 What You'll Do

• Utilize in-house and 3rd party LLMs for language understanding
• Employ fine-tuning and RAG to improve models
• Design, build, and ship ML product features
• Optimize testing and tooling for content enrichment

📋 Requirements

• Strong background in machine learning with LLMs
• Professional experience in applied machine learning
• Proficiency in Python and cloud platforms (GCP or AWS)
• Experience implementing machine learning systems at scale

✨ Nice to Have

• Experience with PyTorch or TensorFlow
• Experience with Ray or TFX
• Experience with near real-time pipelines

🎁 Benefits & Perks

• 🏖️ Flexible remote work
• 🏥 Health insurance
• 📈 Stock options
• 🎵 Spotify Premium
• 🏋️ 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