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. Our platform is for everyone, and so is our workplace. 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. Spotify is an equal opportunity employer.
Working hours? We operate within the Eastern Standard time zone for collaboration. Find more information about our Work From Anywhere options here. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Where in the world? For this role, it can be within the Americas region in which we have a work location. We are a distributed workforce enabling our band members to find a work mode that is best for them!. Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus. 
Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus.You have experience and passion for fostering collaborative teams.
SPOTIFY JOBS REMOTE ENTRY LEVEL SOFTWARE
You care about agile software processes, data-driven development, reliability, and disciplined experimentation.You have some hands-on experience implementing machine learning systems at scale in Java, Scala, Python, or similar languages.You have a strong background in machine learning architecture and software development with a focus on deep learning algorithms (example: DNN/RNN/LSTM etc.).Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.
Help drive optimization, testing, and tooling to improve quality. Perform data analysis to establish baselines and inform product decisions. Prototype new approaches and productionize solutions at scale. Apply state-of-the-art machine learning and deep learning techniques to personalize our listeners’ experience of ads on the platform. We develop innovative solutions around the core problem of getting the right ad to the right user at the right time, while embodying Spotify’s values and taking our users’ best interest at heart. Our team leverages machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. At Spotify, we’re proud of our ambitious mission of having 1 billion fans enjoying music around the world, and are seeking machine learning engineers to join us in pursuit of this goal. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business. At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers.
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