Machine Learning Engineer

Who you are

You are a Machine Learning Engineer with a strong background in developing and implementing machine learning models. You have experience working with large datasets and understand the intricacies of data preprocessing and feature engineering. Your knowledge of natural language processing and machine learning frameworks allows you to contribute effectively to projects that enhance user experiences. You are passionate about music, podcasts, and audiobooks, and you strive to create personalized experiences for listeners.

You have a collaborative mindset and enjoy working in cross-functional teams. You can communicate complex technical concepts to non-technical stakeholders, ensuring that everyone is aligned on project goals. You are adaptable and open to learning new technologies and methodologies that can improve your work and the team's output. You thrive in an environment where innovation is encouraged, and you are eager to contribute to the development of cutting-edge solutions.

Desirable

Experience with large language models (LLMs) is a plus, as is familiarity with cloud computing platforms. You may have worked on projects that involve recommendation systems or user personalization, giving you insights into user behavior and preferences. A background in software engineering principles will help you collaborate effectively with other engineers and contribute to the overall architecture of the systems you work on.

What you'll do

As a Machine Learning Engineer at Spotify, you will be part of the Personalization team, focusing on enhancing the listening experience for millions of users. You will work on building and improving storytelling capabilities that leverage both human-written content and machine learning models. Your role will involve designing and implementing algorithms that analyze user data to provide personalized recommendations.

You will collaborate closely with data scientists, product managers, and software engineers to ensure that the models you develop are integrated seamlessly into the Spotify platform. You will be responsible for conducting experiments to evaluate the effectiveness of different approaches and iterating on your solutions based on user feedback and performance metrics.

Your work will directly impact how users interact with Spotify, making it easier and more enjoyable for them to discover new music, podcasts, and audiobooks. You will have the opportunity to innovate and push the boundaries of what is possible in the realm of audio personalization.

What we offer

At Spotify, you will be part of a vibrant and inclusive culture that values creativity and collaboration. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will work in a dynamic environment where your contributions are recognized and valued, and you will have the chance to make a significant impact on the lives of millions of listeners around the world. Join us in our mission to keep the world listening.