Senior Staff Machine Learning Engineer

Who you are

• You have significant experience designing and building production-grade machine learning systems at scale
• You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar
• You have experience with—or a strong interest in—multimodal machine learning across areas such as text, audio, image, or video
• You have built systems where machine learning outputs inform or automate real-world decisions
• You understand how to balance automation with quality, safety, reliability, and user experience
• You’re comfortable tackling complex and ambiguous technical problems with significant product and business impact
• You think in systems, connecting models, data, infrastructure, and decisioning to platform-level outcomes and user experiences
• You care deeply about data quality, rigorous evaluation, fairness, explainability, and system reliability
• You’re an experienced technical leader who communicates clearly, mentors others, and can influence across technical and non-technical teams

What the job involves

• We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify
• Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance
• You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content across Spotify
• Define and drive machine learning strategy across content understanding, safety, policy enforcement, and platform-level decisioning
• Build and scale production ML systems for classification, moderation, ranking, risk detection, and content evaluation
• Develop automated decisioning systems that support content quality, integrity, safety, and policy compliance at scale
• Design and deploy ML systems across multiple content modalities, including text, audio, image, and video
• Build systems capable of evaluating and making decisions about content in real time and at Spotify scale
• Enable controlled and reliable access to content and metadata for downstream products and applications
• Collaborate closely with Product, Policy, Trust & Safety, and Engineering teams to translate content standards into scalable technical solutions
• Advance automation while maintaining high standards for quality, safety, fairness, explainability, and reliability
• Provide technical leadership across teams, mentoring engineers and influencing ML engineering, evaluation, and system design best practices

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs