1d ago
Senior Machine Learning Engineer - Policy & Safety
London
โจ $185k-$255k / yearest.
full-timesenior Hybridmedia
๐ Tech Stack
๐ผ About This Role
You'll build production-grade machine learning systems for content safety and policy enforcement at Spotify. You'll own key technical initiatives across detection, classification, and policy evaluation, driving experimentation to improve model performance and fairness. This role collaborates with Trust & Safety, Legal, and Public Affairs on critical safety features.
๐ฏ What You'll Do
- Design and deploy ML systems for content moderation at scale.
- Own key technical initiatives across detection and policy evaluation.
- Develop and maintain ML models including multimodal and LLM-based systems.
- Build evaluation frameworks and drive experimentation cycles.
- Collaborate with Trust & Safety, Legal, and Public Affairs teams.
๐ Requirements
- Production ML systems experience at scale.
- Proficiency with PyTorch for training and deploying models.
- Deep understanding of ML evaluation including dataset design and metrics.
- Experience with Scala or other backend technologies.
- Ability to lead technical projects and influence product direction.
โจ Nice to Have
- Experience in content moderation or policy enforcement systems.
- Experience with distributed systems.
- Background in responsible AI or safety-critical applications.
๐ Benefits & Perks
- ๐๏ธ Flexible working hours
- ๐ Hybrid work model (London or Stockholm)
- ๐ Learning and development budget
- ๐ฐ Permanent contract
- ๐ Global impact at a leading tech company
๐จ Hiring Process
Estimated timeline: 2-4 weeks ยท AI estimate
- 1Recruiter Callยท 30 min
- 2Technical Interviewยท 60 min
- 3Hiring Manager Interviewยท 60 min
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