Synced from Lever · May 4

Machine Learning Engineer

SpotifyNew York, NYPosted May 4, 2026
Machine Learning EngineerHybridSenior
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Mirrored from Spotify's own Lever careers system · refreshed hourly

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May 4
Posted
Lever
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Job description

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.


The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify’s content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

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Based on publicly available information, candidates applying through Lever can generally expect a structured but streamlined process, as this ATS commonly supports an online application with resume and optional cover letter submission. Applicants may receive automated acknowledgment upon submission, and response times vary depending on the role and hiring team's bandwidth. The process may include multiple stages such as an initial recruiter screen, hiring manager conversation, and skills-based or technical assessments relevant to the position, followed by panel interviews with potential future colleagues. Communication throughout is typically handled via email or the Lever candidate portal, where status updates may be tracked. Candidates should prepare to discuss relevant experience, role-specific competencies, and cultural fit, as companies using Lever commonly emphasize both technical qualifications and alignment with team values during evaluation stages.

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