Machine Learning Engineer jobs in United States

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.

Locations

• London
• Stockholm

Job type

Permanent

We are looking for an engaged and enthusiastic data engineer to join one of our Experience Mission teams. Our teams within the Experience Mission are responsible for all of Spotify consumer experiences across our mobile apps as well as platforms like web, TVs, speakers, cars, wearables, and partner application integrations to make Spotify available wherever our users are.

We are hiring data engineers who are passionate about building structured, high-quality data solutions. These solutions will be used to evolve our products, bringing better experiences to Spotify users and the global artist community alike. We process petabytes of data using GCP suite such as BigQuery, Dataflow and Pub/sub. We are also known to write our own open source software to cater for our needs, such as Scio, a Scala API wrapper for Apache Beam.

What You´ll Do

• Build large-scale batch and streaming data processing systems with Scala, and cloud platform tools.
• Collaborate with other software engineers, data scientists, and decision makers to build data powered products.
• Evolve our data pipelines towards technical excellence by improving data quality through testing, tooling and continuously evaluating performance at scale.
• Perform root cause analysis on data and processes in order to answer business questions and find opportunities for improvement.
• Continuously improve our code bases by working with innovative data processing frameworks, technologies, and platforms.
• Work in multi-functional teams with end-to-end responsibility for product development and delivery within the mission.

Who You Are

• You are knowledgeable and driven about software engineering. We use languages such as Python, Java, Scala and SQL combined with various cloud solutions. Although you might not have a background in our field, bringing knowledge and experience from other fields is merited.
• You have experience working with high volume heterogeneous data, preferably with data processing frameworks like Apache Beam, Apache Spark, Apache Flink.
• You have strong analytical skills and love to visualize your data findings in a clear and easy to understand way and to collect corner cases of implementations.
• You care deeply about agile software processes, reliability, and responsible experimentation as well as being a strong advocate for engineering best practices such as continuous integration and delivery.
• You have a proven understanding of data modeling, data access, and data storage, caching, replication, and optimization techniques.
• You understand the value of collaboration within teams. You are comfortable with asynchronous communication, being able to work independently while always sharing.
• Having familiarity with and interest in backend development is a plus.

Where You´ll Be

• This role is based in Stockholm or London.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.

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 500 million users.