Hiring: Senior Staff Machine Learning Engineer - Content Platform Company: Spotify Location: New York, NY Job Posted Time: 2026-09-09 17:56:37 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Multimodal ML, Content Understanding, Content Safety, Policy Enforcement, Decisioning Systems, Classification, Moderation, Ranking, Risk Detection, PyTorch, TensorFlow, JAX, Technical Leadership, Trust & Safety, Content Integrity, Real-Time Systems, Data Quality, Explainability, Fairness Experience: - Significant experience designing and building production-grade machine learning systems at scale - Experience with—or strong interest in—multimodal machine learning across text, audio, image, or video - Experience building systems where ML outputs inform or automate real-world decisions - Experienced technical leader with a track record of mentoring engineers and influencing across technical and non-technical teams Required Skills: - Deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar - Building and scaling production ML systems for classification, moderation, ranking, risk detection, and content evaluation - Designing and deploying ML systems across multiple content modalities (text, audio, image, video) - Developing automated decisioning systems supporting content quality, integrity, safety, and policy compliance - Building real-time, large-scale content evaluation and decisioning systems - Strong understanding of data quality, rigorous evaluation, fairness, explainability, and system reliability - Systems thinking—connecting models, data, infrastructure, and decisioning to platform-level outcomes - Clear communication and ability to influence across teams Qualifications: - Significant experience designing and building production-grade ML systems at scale - Deep experience with modern ML frameworks (PyTorch, TensorFlow, JAX, or similar) - Experience with or strong interest in multimodal machine learning - Experience building systems where ML outputs inform or automate real-world decisions - Ability to balance automation with quality, safety, reliability, and user experience - Comfortable tackling complex and ambiguous technical problems with significant product and business impact - Experienced technical leader who mentors others and influences across technical and non-technical teams - Based in New York (flexible work-from-home with some in-person meetings) Compensation: - Base range: $281,196 - $401,709 plus equity - Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!