Junior Machine Learning Engineer - User Journey

We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention and conversion funnels to improve important business metrics like SUBS and MAU. Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow. We are looking for a passionate Junior Machine Learning Engineer to help us accomplish our mission: enable impactful ML optimisation opportunities in new domains (Awareness & Acquisition, Commerce & Customer Support, Free & Paid Products) and bootstrap the GenAI Strategy of the Subscriptions Mission.

What You'll Do

Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users Help drive optimisation, testing, and tooling to improve quality Be part of an active group of machine learning practitioners in your mission and across Spotify You'll work on projects like; optimising the ad load time and features usage friction for free users to balance retention and conversion, and developing GenAI prototypes with our partner squads

Who You Are

You have at least 2 years of experience in applied Machine Learning Engineering You have a strong background in machine learning, theory, and practice You are comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages Experience with Pytorch and TensorFlow is also a plus You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models You preferably have experience with cloud platforms like GCP or AWS You care about agile software processes, data development, reliability, and focused experimentation You have a desire to drive business impact

Where You'll Be

This role is based in London, UK or Stockholm, Sweden 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. We ask that you come in 3 times per week.