We in the Machine Learning product area within the Activation, Retention, Conversion studio focus on building robust and scalable machine learning solutions. Our goal is to personalize activation, retention, and conversion funnels to improve key business metrics like SUBS and MAU. We communicate with users through our messaging platform and other discovery & conversion surfaces to connect them with valuable audio content and support business growth.

We are seeking a passionate Junior Machine Learning Engineer to help us:

• Enable impactful ML optimization opportunities across new domains such as Awareness & Acquisition, Commerce & Customer Support, and Free & Paid Products.
• Bootstrap the GenAI Strategy for the Subscriptions Mission.

What You'll Do

• Contribute to designing, building, evaluating, shipping, and refining Spotifys product through hands-on ML development.
• Collaborate with a multi-disciplinary agile team including user research, design, data science, product management, and engineering to develop new features that connect artists and fans in personalized ways.
• Prototype new approaches and scale solutions for our hundreds of millions of active users.
• Drive optimization, testing, and tooling to enhance quality.
• Join an active community of machine learning practitioners within your mission and across Spotify.
• Work on projects like optimizing ad load time, reducing features usage friction for free users to balance retention and conversion, and developing GenAI prototypes with partner squads.

Who You Are

• You have at least 2 years of experience in applied Machine Learning Engineering.
• You possess a strong background in machine learning theory and practice.
• You can explain the intuition and assumptions behind ML concepts clearly.
• You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages.
• Experience with Pytorch and TensorFlow is a plus.
• You are experienced in building data pipelines and self-sufficient in data acquisition for model development and evaluation.
• Experience with cloud platforms like GCP or AWS is preferred.
• You value agile software processes, data development, reliability, and focused experimentation.
• You are motivated to drive business impact.

Where You'll Be

• This role is based in London, UK or Stockholm, Sweden.
• We offer flexible work arrangements, with some in-person meetings required, typically three days per week.

Spotify is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds to apply and offer accommodations during the recruitment process upon request.