Staff Machine Learning Engineer – Policy & Safety

Spotify

Staff Machine Learning Engineer developing proactive content detection and safety solutions at Spotify. Collaborating with cross-functional teams to ensure safe user experiences.

Posted 5/6/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $227,495 - $324,993 per yearWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

health insurance
six-month paid parental leave
401(k) retirement plan
monthly meal allowance
23 paid days off
13 paid flexible holidays
paid sick leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningpolicy evaluation frameworksmultimodal modelsdataset designmodel performance monitoringhuman-in-the-loop systemsactive learningfeedback-driven model improvementcontent detectionclassification

Soft Skills

mentoringcollaborationcommunicationinfluencingdecision makingnavigating ambiguitycross-functional teamworktechnical directionproblem solvingcontinuous improvement