Senior Machine Learning Engineer - Policy & Safety
Spotify· Engineering
New York, NY$184.1k - $262.9kPermanentPosted 5mo ago
About the role
Senior ML Engineer role focused on building and deploying production-grade ML systems for content safety, policy enforcement, and compliance at Spotify. Hybrid in New York, NY (USA).
Responsibilities
- 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
Qualifications
- 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
- Deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
- Ability to design systems balancing performance, reliability, and real-world impact in high-stakes domains
- Commitment to building safe, responsible, and user-centric ML systems
- Comfort working across disciplines with legal, policy, and product stakeholders
- Experience leading technical projects and influencing direction within a team or product area
- Experience with distributed systems or backend technologies (e.g., Scala)
Skills
Required:Machine Learning System DesignPyTorchEvaluation Frameworks
Benefits
- health insurance
- six-month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- paid flexible holidays
- paid sick leave
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Spotify
Music for everyone
Spotify is a digital music service that gives you access to millions of songs.
music streamingdigital music service
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