Machine Learning Engineer

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
The Platform department builds the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billion customers, and enabling our rapid employee growth around the globe. We love data and believe in a fair data driven engineering culture where we make decisions and products based on our customers' demands. 
We are now looking for a Machine Learning Engineer to help us define and build the next generation of ML infrastructure at Spotify. Our mission is to enable every team at Spotify to iterate quickly on hypotheses and scale their experiments to data sets with hundreds of billions of data points. In this role you will work closely with many of the ML teams at Spotify across missions including personalization, music recommendations, ads targeting, pricing and more. Spanning many subject areas, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify efficiency, quality and innovation across Spotify. 

What you'll do

• Build infrastructure that best supports the needs of a broad community of machine learning engineers, active across all Spotify business units
• Craft such infrastructure under the constraints that come with scale in regards to correctness, usability, interpretability, experimentation and maintainability
• Become an authority on demonstrating existing and innovative tooling into the Spotify ecosystem (TensorFlow, TFX, Kubeflow Pipelines, Cloud Bigtable)
• Collaborate with multi-functional agile teams of software engineers, data engineers, ML experts, and others in building new product features
• Give to new and existing Spotify open source machine learning and data processing products
• Demonstrate your experience to drive standard methodologies in ML and data engineering
• Gain a deep understanding of various models used by our partners on both structured and unstructured content (text, audio, images, behavioral data etc)
• Resolve feasibility of projects through quick prototyping with respect to performance, quality, time and cost using Agile methodologies

Who you are

• You have development experience with an object-oriented programming language such as C++ or Java and/or functional programming languages
• You have previous validated experience with ML systems using frameworks such as Scikit-learn and Tensorflow
• You have previously built APIs and libraries for Java, Scala or Python
• You are passionate about agile software processes, data-driven development, reliability, and responsible experimentation
• You routinely survey research publications in the machine learning and software engineering communities
• You ideally have experience with data processing and storage frameworks like Google Cloud Dataflow, Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc. 
• You preferably have open source contributions to share with us
• Effective communicator with a consistent record of leading work across different subject areas

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 381 million users.

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 381 million users.