Spotify - Senior Machine Learning Engineer

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages • Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS • You care about agile software processes, data-driven development, reliability, and disciplined experimentation. • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.