Hiring: Senior Machine Learning Engineer - Policy & Safety Company: Spotify Location: New York, NY Job Posted Time: 2026-09-15 18:56:32 Employment Type: Full-time Target Skills & Keywords: Machine Learning, Content Moderation, Policy & Safety, Trust & Safety, PyTorch, LLM-based Systems, Multimodal Models, Evaluation Frameworks, Distributed Systems, Scala, Content Platform, Compliance, Experimentation, Technical Leadership Experience: - Solid experience building and deploying machine learning systems in production environments at scale - Experience training, evaluating, and maintaining ML models using modern frameworks such as PyTorch - Experience leading technical projects and influencing direction within a team or product area - Experience with distributed systems or backend technologies (e.g., Scala) Required Skills: - Design, build, and ship production-grade machine learning systems at scale - Develop and maintain ML models for content moderation, including multimodal and LLM-based systems - Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops - Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems - Deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems - Design systems that balance performance, reliability, and real-world impact in high-stakes domains - Comfortable working across disciplines, partnering with legal, policy, and product stakeholders Qualifications: - Care about building safe, responsible, and user-centric ML systems - Ability to own and lead key technical initiatives across detection, classification, and policy evaluation systems - Ability to collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs - Ability to provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization - Ability to represent technical decisions and trade-offs in stakeholder discussions and influence product direction Compensation: - The United States base range for this position is $184,050 - $262,928 USD, plus equity - Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 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!