Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning engineering, with experience in building scalable systems that leverage AI and ML techniques. You understand the intricacies of personalization in digital content and have a passion for enhancing user experiences through technology. Your expertise includes working with Large Language Models and you are comfortable collaborating with cross-functional teams, including Data Engineers and Backend Engineers. You thrive in a dynamic environment where you can contribute to innovative projects that impact millions of users.

You possess excellent problem-solving skills and can translate complex technical concepts into understandable terms for various stakeholders. You are proactive in seeking out new challenges and are eager to grow your skills in ML engineering at scale. You appreciate the importance of user-centric design and are committed to making content recommendations that resonate with individual listeners. You are a team player who values collaboration and communication, ensuring that everyone is aligned towards common goals.

Desirable

Experience with data pipelines and model training is a plus, as is familiarity with tools and frameworks commonly used in machine learning. A background in music, podcasts, or audiobooks can enhance your understanding of the domain and contribute to your success in this role.

What you'll do

As a Machine Learning Engineer on the Personalization team at Spotify, you will play a crucial role in developing systems that enhance the listening experience for millions of users. You will work closely with a team of engineers and researchers to build reliable and scalable systems that utilize AI and ML techniques. Your responsibilities will include designing and implementing machine learning models that improve content recommendations, ensuring that they are both accurate and engaging for users.

You will collaborate with Data Engineers to create efficient data pipelines that support model training and deployment. Your work will involve experimenting with different algorithms and techniques to optimize the performance of recommendation systems. You will also be responsible for monitoring and maintaining the models in production, ensuring they continue to deliver high-quality recommendations as user preferences evolve.

In addition to technical responsibilities, you will participate in cross-functional meetings to share insights and gather feedback from other teams. Your contributions will help shape the future of Spotify's content enrichment and recommendations, making a significant impact on how users discover music, podcasts, and audiobooks.

What we offer

At Spotify, you will be part of a motivated and supportive team that values innovation and creativity. We offer opportunities for professional growth and development, allowing you to expand your skills in machine learning and AI. You will work in a collaborative environment where your ideas are valued and encouraged. We believe in the importance of work-life balance and provide flexible working arrangements to support your needs. Join us in shaping the future of audio content and making a difference for millions of listeners around the world.