Junior Machine Learning Engineer - User Journey

Spotify, the world's leading audio streaming platform, is seeking a Junior Machine Learning Engineer to join their Subscriptions R&D team. This role focuses on building robust and scalable machine learning solutions that personalize activation, retention, and conversion funnels to improve key business metrics. The position offers an exciting opportunity to work on cutting-edge ML projects, including GenAI initiatives, while collaborating with a diverse, multi-functional team.

The role is perfect for someone passionate about applying ML to real-world problems at scale, as you'll be working on systems that impact hundreds of millions of active users. You'll be part of the Machine Learning product area in the Activation, Retention, Conversion studio, where you'll help optimize user journeys and messaging platforms to connect users with valuable audio content.

Working at Spotify means joining a company that values diversity and inclusion, offering a flexible hybrid work environment with a balance of remote and office work. The company provides a unique opportunity to work on projects that directly impact how the world experiences music and audio content. You'll be part of a team that's revolutionizing the audio industry while working with cutting-edge ML technologies and frameworks.

The position offers hands-on experience with modern ML tools and technologies, including Python, TensorFlow, and cloud platforms. You'll be involved in the entire ML lifecycle, from prototyping to production, while working alongside experienced professionals who can help accelerate your growth in the field. If you're passionate about machine learning, user experience, and want to make an impact at a global scale, this role at Spotify could be your next career milestone.