Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong foundation in building and deploying models that enhance user experiences. Your expertise in Python and TensorFlow allows you to prototype and productize state-of-the-art machine learning solutions effectively. You understand the intricacies of recommendation systems and are passionate about leveraging data to drive user satisfaction. Your collaborative spirit shines as you work alongside research scientists and data scientists, contributing to a team that values innovation and impact.

You possess a solid understanding of data science principles and are comfortable working with large datasets to extract meaningful insights. Your experience includes designing experiments and evaluating model performance, ensuring that the solutions you develop are both effective and scalable. You thrive in environments where you can share knowledge and mentor others, fostering a culture of continuous learning and improvement.

Desirable

Experience with additional machine learning frameworks or libraries is a plus, as is familiarity with cloud platforms like AWS or GCP. You may also have a background in music, podcasts, or audiobooks, which would enhance your understanding of the domain.

What you'll do

As a Senior Machine Learning Engineer on the Personalization team at Spotify, you will play a crucial role in enhancing the listening experience for millions of users. You will collaborate with a diverse team of engineers and scientists to develop and refine recommendation systems that make personalized suggestions. Your work will involve prototyping new models, conducting experiments to evaluate their effectiveness, and implementing solutions that can be scaled across the platform.

You will be responsible for analyzing user behavior and feedback to inform the development of features that resonate with listeners. By leveraging your expertise in machine learning, you will contribute to the continuous improvement of Spotify's personalization capabilities, ensuring that users receive recommendations that are not only relevant but also enjoyable.

Your role will also include mentoring junior engineers and sharing best practices within the team. You will participate in code reviews and contribute to the overall technical direction of the team, helping to shape the future of Spotify's personalization efforts. You will have the opportunity to work on cutting-edge technologies and methodologies, pushing the boundaries of what is possible in the realm of music and audio recommendations.

What we offer

Spotify provides a dynamic work environment where innovation is encouraged, and your contributions can have a significant impact on millions of users. You will have access to resources and tools that enable you to excel in your role, along with opportunities for professional growth and development. The company values diversity and inclusion, fostering a culture where everyone can thrive and contribute to the mission of making music and audio more accessible and enjoyable for all.