Senior Machine Learning Engineer - Machine Learning Platform

We are looking for a Senior Machine Learning Engineer to help us define and build the next generation of Machine Learning (ML) infrastructure at Spotify. Our mission is to enable every team at Spotify to iterate quickly on hypotheses and scale their models to data sets with hundreds of billions of data points.
In this role, you will push ML at Spotify forward in real-time data processing and large scale sharing of feature data. You will work closely with many of the ML teams at Spotify across missions including personalization, music recommendations, ads targeting, and more. Above all, your work will impact the way the world experiences music and podcasts.

What you'll do

• Create systems for real-time processing and serving of millions of data points per second
• Design such infrastructure under the constraints that come with scale in regards to correctness, usability, interpretability, experimentation and maintainability
• Become an authority on using existing state-of-the-art tooling into the Spotify ecosystem (Google Cloud DataFlow, Cloud Bigtable, Cloud PubSub)
• Collaborate with cross functional agile teams of software engineers, data engineers, ML experts, and others in building new product features
• Contribute to new and existing Spotify open source machine learning and data processing products
• Gain a deep understanding of the complete machine learning workflow
• Figure out 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++,Java, Python and/or functional programming languages
• You have experience with batch and streaming data processing frameworks like Google Cloud Dataflow, Hadoop, Spark, Flink, Scalding, Google Cloud PubSub, Kafka, etc.
• You have previously built APIs and libraries for Java, Scala or Python
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• You have experience building large scale distributed systems
• Skilled communicator and have a proven track record of spearheading work across subject areas
• You have built features to feed ML models with tools like pandas, FeatureTools, TSFresh
• You’ve deployed models to production using tools like Docker, Kubernetes, etc
• Ideally, you’ve built reusable tooling to simplify managing features or interacted with platform teams to productionize ML models

Where you'll be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
• Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

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.


This role is not eligible for hire in Colorado, USA.