Description
We design Spotify’s consumer experience,end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world.
The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure , from detection models to policy enforcement systems and compliance data pipelines.
What You'll Do
- Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
- Own and lead key technical initiatives across detection, classification, and policy evaluation systems
- 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
- Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
- Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
- Represent technical decisions and trade-offs in stakeholder discussions and influence product direction
Who You Are
- You have solid experience building and deploying machine learning systems in production environments at scale
- You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
- You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
- You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
- You care about building safe, responsible, and user-centric ML systems
- You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
- You have experience leading technical projects and influencing direction within a team or product area
- You have experience with distributed systems or backend technologies (e.g., Scala)
Where You'll Be
- This role is based in New York
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Additional Information
The United States base range for this position is $184,050 - $262,928 USD, plus equity. The benefits available for this position 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.