Associate Machine Learning Engineer Trust & Safety Intelligence
Role Overview
As an Associate Machine Learning Engineer on the Trust & Safety Intelligence team at Spotify, you will develop AI and ML systems to enhance the detection and management of risky or non-compliant activities. This junior-level role involves collaboration with engineers, data scientists, and policy partners to design models, automate performance tracking, and improve transparency in moderation processes, making a significant impact on user safety and compliance.
Perks & Benefits
While the job posting does not explicitly mention remote work, it implies a collaborative environment that may offer flexibility typical of tech roles. The culture emphasizes safety, responsible innovation, and continuous learning, providing opportunities for career growth and skill development in a dynamic, supportive setting. The application process includes a unique verification feature to ensure genuine applicants.
Full Job Description
The Trust & Safety Intelligence team builds technology that keeps Spotify a safe and welcoming space for creativity. We design and scale AI systems that detect harmful or risky activity, uphold global compliance standards, and make moderation operations more efficient. The team is also expanding how we use GenAI to support policy specialists who work around the clock to protect our users from harm. Together, we’re building a strong foundation for safe and responsible innovation at Spotify. As an Associate Machine Learning Engineer, you will help develop AI and ML systems that improve how Spotify detects, reviews, and manages risky or non-compliant activity. You’ll work with engineers, data scientists, and policy partners to design and evaluate models, automate performance tracking, and enhance transparency and auditability. This is a hands-on, collaborative role where you’ll learn from experienced practitioners while building solutions that advance safety, compliance, and responsible.Please mention the word **FAITHFULLY** and tag RMTU3LjE4MC44Ny4xODg= when applying to show you read the job post completely (#RMTU3LjE4MC44Ny4xODg=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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