🛠 Tech Stack

💼 About This Role

You'll build data-driven solutions to understand factors driving promoted track performance at Spotify. You'll collaborate on scalable ML systems and influence technical architecture. This role offers access to rich datasets and ML infrastructure for continuous experimentation.

🎯 What You'll Do

• Design, build, evaluate, and ship ML systems for promotional performance
• Collaborate with multidisciplinary team to optimize models for production
• Influence technical design and infrastructure for ML architectures
• Transition ML models from research to production

📋 Requirements

• Experience implementing ML systems at scale in Java, Scala, or Python
• Experience with ML frameworks such as TensorFlow or PyTorch
• Experience bringing ML models from research to production
• Experience optimizing ML models for production use cases

✨ Nice to Have

• Experience with data pipeline tools like Apache Beam, Scio
• Experience with cloud platforms like GCP
• Exposure to causal ML models including counterfactuals

🎁 Benefits & Perks

• 🏖️ Flexible work within EST time zone
• 🧑‍💻 Remote work option
• 🎵 Music industry environment