Senior Machine Learning Engineer – Policy & Safety

Spotify

Senior Machine Learning Engineer developing content moderation systems for Spotify. Collaborating with Trust & Safety and Legal teams on safety-driven initiatives.

Posted 5/6/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $184,050 - $262,928 per yearWebsite

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

solid experience building and deploying machine learning systems in production environments at scale
experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch
deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems
ability to design systems that balance performance, reliability, and real-world impact in high-stakes domains
passion for building safe, responsible, and user-centric ML systems
comfortable working across disciplines, partnering with legal, policy, and product stakeholders
experience leading technical projects and influencing direction within a team or product area
experience with distributed systems or backend technologies (e.g., Scala)

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning systemsML modelsPyTorchevaluation frameworksdataset designmetricscontinuous improvementdistributed systemsbackend technologiescontent moderation

Soft Skills

technical leadershipmentoringcollaborationinfluencing directioncross-functional partnershipcommunicationproblem-solvingproject leadershipuser-centric designpassion for safety