• Define and drive the machine learning technical strategy for Spotify Home, spanning retrieval, ranking, page composition, layout optimization, and real-time personalization • Work at the intersection of recommender systems, generative models, and user intent understanding to deliver highly adaptive and engaging Home experiences • Lead hands-on development of ML models and systems, from prototyping new ideas to productionizing solutions at global scale • Provide senior-level technical leadership across multiple teams, influencing architecture, modeling choices, and long-term investments • Design, build, evaluate, ship, and iterate on large-scale ML systems that directly power Home for hundreds of millions of users • Partner closely with product, design, and user research to translate UX goals and user needs into robust ML systems • Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and reliability • Help evolve Home toward more contextual, generative, and intent-aware experiences, leveraging transformers, sequence models, and emerging techniques • Collaborate with platform and foundation teams to effectively leverage shared models and infrastructure while tailoring solutions to Home’s unique needs • Mentor senior engineers and influence technical standards through thoughtful reviews, documentation, and architectural guidance • Act as a technical ambassador for Home within Spotify’s broader ML community, staying current with research and industry trends

• Available to teach synchronous online courses via Microsoft Teams • Plan and organize instruction in ways that maximize student learning and engagement • Modify instructional methods and strategies to meet diverse student’s needs • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format • Demonstrate a thorough and accurate knowledge of their field or discipline • Ensure Student Database is fully updated and accurate regarding student grade record information • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc.

• Teaching: Available to teach synchronous online courses via Microsoft Teams • Plan and organize instruction in ways that maximize student learning and engagement • Modify, where appropriate, instructional methods and strategies to meet diverse student’s needs • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format (Microsoft Teams) • Current certifications in subjects taught • Demonstrate a thorough and accurate knowledge of their field or discipline • Connect their subject matter with related fields • Stay current in their subject matter through professional development, through involvement in professional organizations, and attending professional meetings, conferences, or workshops • Ensure Student Database is fully updated and accurate at all times regarding student grade record information • Maintain compliance with accreditation related to instructional and the quality of education, scheduled class hours requirements and CIAT policies and procedures • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc. • Adhere to the CIAT business casual attire.

• Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. • Define and drive the Safety ML team’s technical strategy and roadmap. • Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high-quality ML systems. • Collaborate cross-functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions. • Tackle the most complex and high-impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors. • Develop cutting-edge safety techniques, applying state-of-the-art ML to detect and prevent harm while staying ahead of emerging abuse patterns • Influence the company’s direction on safety, clearly communicating trade-offs and technical constraints to senior leadership and stakeholders.