# Machine Learning Engineer - Policy & Safety

**Company**: Spotify
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/spotify/b441bb85-24c0-4ef4-971a-1372952c1c32?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e1468403-339

## Description

We design Spotify's consumer experience,end to end, moment to moment, across every screen, platform, and partner integration.

The Policy & Safety team builds systems that keep Spotify safe and trustworthy at scale.

## Responsibilities

- 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 reviewer input into structured training data for continuous model improvement

- Translate regulatory requirements into scalable ML system designs, including accuracy and reporting expectations

- 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 grow technical capability across the team

## Requirements

- Experience building and shipping production-grade machine learning systems at scale

- Experience with ML evaluation, including dataset design, metrics, and model performance monitoring

- Experience with multimodal machine learning across text, audio, image, or video domains

- Experience with human-in-the-loop systems, active learning, or feedback-driven model improvement

- Comfortable translating complex requirements into technical solutions, including policy or regulatory constraints

- Experienced working across teams and influencing technical direction in large systems

- Comfortable navigating ambiguity and making thoughtful trade-offs between speed, quality, and risk

- Clear communication and collaboration with both technical and non-technical partners

## Skills

### Required
- machine learning
- multimodal models
- policy evaluation
- regulatory requirements
- ML evaluation

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/spotify/b441bb85-24c0-4ef4-971a-1372952c1c32?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)