Spotify is hiring: Senior Machine Learning Engineer, Home Podcast in New York

New Today

The Home Podcasts team within Spotify’s Personalization Mission focuses on recommending podcasts on Spotify’s Homepage and determining their placement, by building models to rank and find the perfect podcast content tailored to each user. We are seeking a Machine Learning Engineer passionate about personalization ML models, recommender systems, and disciplines such as contextual bandits, causal inference, deep learning, and generative recommenders, which are actively used and expanded by our teams. Join us to help keep millions of users listening by making excellent recommendations on the Spotify Homepage. For collaboration purposes, team members are expected to operate in the Eastern time zone. What You'll Do Serve as a technical leader within your team and across Spotify Coordinate technical projects across teams within Spotify Facilitate collaboration with engineers, product owners, and designers to solve interesting problems for delivering media worldwide Be a valued member of an autonomous, cross-functional agile team Architect, design, develop, and deploy ML models for podcast recommendations across various surfaces Lead within Home’s ML community and work collaboratively within existing platforms and systems Who You Are You have experience as a technical leader or mentor You have a strong background in machine learning, especially with recommender systems You have experience designing and building ML systems at Spotify, including experience with spotify-kubeflow and salem You are experienced with feature engineering and building scalable data pipelines in Scio You have a deep understanding of ML systems and infrastructure You have experience with TensorFlow or PyTorch; experience with Kubeflow and Ray is a plus Where You'll Be We offer flexibility to work where you work best! For this role, you can be within the North America region, provided we have a suitable work location This team operates within the Eastern Standard time zone for collaboration The salary range in the United States for this position is $176,166 to $251,666 plus equity. Benefits include health insurance, six months paid parental leave, 401(k), monthly meal allowance, 23 paid days off, 13 paid holidays, and paid sick leave. These ranges may be updated in the future. Spotify is an equal opportunity employer. We welcome everyone regardless of background, appearance, or headphone choice. Our platform and workplace embrace diversity, which fuels our innovation and growth. Bring your personal experience, perspectives, and background — together, we can continue to revolutionize how the world listens. We are committed to inclusivity and accessible recruitment. If you require accommodations during the application or interview process, please let us know — we’re here to support you. Since launching in 2008, Spotify has transformed music listening. Our mission is to unlock human creativity by supporting artists and engaging billions of fans with their work. Driven by a love for music and podcasts, we are now the world’s leading audio streaming service.
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Location:
New York