The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

What you'll do

• Support the engineering team in formulating the technical vision and strategy for our ML-based optimization across the freemium funnel.
• Take on complex data-related problems involving some of the most diverse datasets available and determine the feasibility of projects through quick prototyping with respect to performance, quality, time and cost using Agile methodologies
• Architect best-in-class infrastructure (platforms, tools, and approaches) to accelerate our research and prototypes to the product phase and set up efficient training, deployment, optimization, and testing of models.
• Apply machine learning to build product features that drive tangible business impact Be a leading voice in an active community of machine learning practitioners across Spotify and leverage existing state-of-the-art tooling in the Spotify ecosystem (TensorFlow, DataFlow, python-beam, Google Cloud Platform)
• Contribute to our team-wide product ideation in collaboration with other engineers, researchers, product managers and tech leads on the team. 
• Help drive optimization, testing and tooling to improve data quality

Who you are

• You have strong hands-on industry experience implementing and maintaining high-scale, production ML systems.
• You are comfortable explaining the intuition and assumptions behind ML and mathematical concepts, and you can creatively apply these concepts to craft ML systems to seek challenging problems. You can explain and discuss pros and cons of learning regimes, and identify scenarios in which one might best apply.
• You are experienced with crafting data pipelines, and you are self-sufficient in driving the process of designing features, labeling training data, and evaluating models.
• You care about agile software processes, data-driven development, reliability, and focused experimentation
• You are passionate about learning and sharing in an early-stage team environment.
• You love your customers even more than your code

Plus/bonus:

• Experience with TensorFlow.
• Experience in causal inference or methods related to customer lifetime value
• Experience with applying deep learning techniques for ranking, content affinity, sequential modeling, or natural language processing in production
• Experience with high-scale, distributed data processing frameworks like Beam or Spark

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.