Machine Learning Engineer • Senior

Who you are

You have extensive experience in machine learning, particularly in building and optimizing recommender systems — you've worked on projects that leverage generative AI to enhance user experiences and understand content better. Your background includes a strong foundation in Python and familiarity with various machine learning frameworks, enabling you to implement complex algorithms effectively.

You thrive in collaborative environments and enjoy working with cross-functional teams — your ability to communicate complex technical concepts to non-technical stakeholders sets you apart. You have a passion for music and podcasts, which drives your interest in creating personalized experiences for users.

You are a strategic thinker who can define and execute a technical roadmap — your experience in shaping machine learning strategies has led to successful product innovations in previous roles. You understand the importance of data quality and user feedback in refining models and improving recommendations.

Desirable

Experience with large-scale machine learning systems and cloud-based architectures is a plus — familiarity with tools like TensorFlow or PyTorch will help you hit the ground running. A background in music technology or media would be beneficial, as it aligns with Spotify's mission to enhance user engagement through personalized content.

What you'll do

As a Senior Staff Machine Learning Engineer at Spotify, you will lead the development of advanced recommender systems that enhance user engagement — your work will directly impact how millions of users discover music and podcasts. You will collaborate with product managers, data scientists, and software engineers to define the technical strategy for personalization features.

You will be responsible for building and optimizing machine learning models that power Spotify's recommendation algorithms — your expertise in generative AI will be crucial in developing innovative solutions that meet diverse user needs. You will also work on improving the technical architecture that supports these systems, ensuring scalability and efficiency.

Your role will involve conducting experiments to evaluate the effectiveness of different recommendation strategies — you will analyze user behavior and feedback to refine models and enhance the overall user experience. You will mentor junior engineers and contribute to a culture of continuous learning and improvement within the team.

What we offer

Spotify offers a dynamic work environment where creativity and innovation are encouraged — you will have the opportunity to work on cutting-edge technologies that shape the future of music and podcast recommendations. We provide competitive compensation and benefits, including opportunities for professional development and growth.

Join us in our mission to keep the world listening — your contributions will help millions of users discover great content tailored to their preferences. We believe in fostering a diverse and inclusive workplace where everyone can thrive, and we encourage you to apply even if your experience doesn't match every requirement.