We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Design, build, evaluate, and ship ML solutions in Spotifys personalization productsCollaborate 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 waysPromote and role-model best practices of ML systems development, testing, evaluation, etc., Be part of an active group of machine learning practitionersAn experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environmentStrong background in machine learning, modern sequential model architectures, generative models, with hands on experience applying theory to develop real-world applicationsHands-on expertise with implementing end-to-end production ML systems at scale in PythonAdditional systems experience (data and backend for ML Systems) in Java or Scala is a plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teamsExperience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWSExperience troubleshooting model training and deployment across hardware ecosystems that mix CPU and GPU is a plusExperience optimizing model training and inference for different GPU types is a plusWe 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 - were here to support you in any way we can.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 worlds most popular audio streaming subscription service.#