# Staff Machine Learning Engineer - Policy & Safety
**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** New York, NY
**Skills:** Machine Learning, Multimodal Models, PyTorch, TensorFlow, Content Moderation, Ml Evaluation, Active Learning, Human-In-The-Loop, Dataset Design, Model Monitoring
**Posted:** 2026-05-06
> Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
## Job Description
## What You Will Do

- Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
- Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
- Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
- Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
- Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
- Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
- Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
- Mentor and support other machine learning engineers, helping raise the bar across the team

## Who You Are

- Experience building and shipping production-grade machine learning systems at scale
- Strong expertise in ML evaluation, including dataset design, metrics, and model performance monitoring
- Worked with multimodal machine learning systems across text, audio, image, or video domains
- Experienced with human-in-the-loop systems, active learning, or feedback-driven model improvement
- Comfortable translating complex requirements into technical solutions, including regulatory or policy constraints
- Experience working across teams and influencing technical direction in large-scale systems
- Comfortable navigating ambiguity and making thoughtful decisions that balance speed, quality, and risk
- Communicate clearly and collaborate effectively with both technical and non-technical stakeholders
**Apply:** https://hotfix.jobs/jobs/staff-machine-learning-engineer-policy-safety-at-spotify-ecdec514-000a-4a6e-be48-c0756a676109
**Canonical:** https://hotfix.jobs/jobs/staff-machine-learning-engineer-policy-safety-at-spotify-ecdec514-000a-4a6e-be48-c0756a676109