Senior Machine Learning Engineer, Home Next Formats

Home Next Formats helps Spotify reach its goal of activating more customers to the Audiobooks format by creating engaging Audiobook recommendation products. Those products recommend Audiobooks based on Podcast and Audiobook listening habits working in and across content types. They also work on a realtime contextual Audiobook ranker which powers most of their products. In the future they'll expand their technology to take advantage of LLMs or other Generative Recommenders products.

• Design, build, evaluate, and ship ML solutions for safety in Spotify’s personalization products 
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
• Strong background in machine learning, natural language processing, and/or generative AI, with experience in applying theory to develop real-world applications
• Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages
• Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

The United States base range for this position is $176,166 - $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.