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Spotify

Senior Machine Learning Engineer – Policy & Safety

Spotify

Senior Machine Learning Engineer developing production-grade systems for content safety at Spotify. Leading initiatives and collaborating across teams to ensure safe user interactions.

Posted 5/4/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies
Distributed SystemsPyTorchScala

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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)

Benefits

Comp & perks
  • Flexible working hours
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learning systemsML modelsevaluation frameworksdataset designmetricscontinuous improvementPyTorchdistributed systemsbackend technologiescontent moderation
Soft Skills
technical leadershipmentoringcollaborationinfluencing directioncross-functional partnershipcommunicationproblem-solvinguser-centric designresponsibilityadaptability