Senior Staff Machine Learning Engineer, Content Platform

Spotify AB; Northern, New York (KY, NY); Hybrid; USD 281,000 - 402,000; Full time

Benefits offered by this job

Health insurance

Six month parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 paid flexible holidays

Paid sick leave

Equity options

Job summary

Spotify in New York seeks a Senior Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding, safety, policy enforcement, and decisioning at global scale.

You will design architectures, mentor engineers, collaborate with Product, Trust & Safety, and Engineering, and own production-grade ML pipelines across text, audio, image, and video. The role is based in New York with equity benefits.

Qualifications

• Design and build production-grade ML systems at scale.
• Experience with modern ML frameworks (PyTorch, TensorFlow, JAX or similar).
• Interest in multimodal ML across text, audio, image, or video.
• Ability to translate ML outputs into real-world decisions.
• Balance automation with quality, safety and user experience.

Responsibilities

• Define and drive ML strategy across content understanding, safety, and platform-level decisioning.
• Build and scale production ML systems for classification, moderation and risk detection.
• Develop automated decisioning systems ensuring content quality and policy compliance.
• Design ML systems across text, audio, image, and video modalities.
• Provide technical leadership and mentor teams across engineering.

Skills

Production-grade ML systems

ML frameworks (PyTorch, TensorFlow, JX

Tools

PyTorch

TensorFlow

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 Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is understood, trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform.

As the scale and diversity of content continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale.

We’re hiring Senior Staff Machine Learning Engineers to build and scale foundational ML systems that power content understanding, safety, policy enforcement, and decisioning across Spotify. Depending on your experience and interests, you may focus on areas ranging from multimodal content understanding and platform-level ML systems to safety, risk detection, policy enforcement, and compliance.

You’ll help shape the architecture and technical strategy behind how Spotify understands and makes decisions about content at global scale. This work is foundational to delivering safe, high-quality experiences for listeners and creators while enabling new ways for people to interact with content across Spotify.

What You Will Do

• Define and drive machine learning strategy across content understanding, safety, policy enforcement, and platform-level decisioning
• Build and scale production ML systems for classification, moderation, ranking, risk detection, and content evaluation
• Develop automated decisioning systems that support content quality, integrity, safety, and policy compliance at scale
• Design and deploy ML systems across multiple content modalities, including text, audio, image, and video
• Build systems capable of evaluating and making decisions about content in real time and at Spotify scale
• Enable controlled and reliable access to content and metadata for downstream products and applications
• Collaborate closely with Product, Policy, Trust & Safety, and Engineering teams to translate content standards into scalable technical solutions
• Advance automation while maintaining high standards for quality, safety, fairness, explainability, and reliability
• Provide technical leadership across teams, mentoring engineers and influencing ML engineering, evaluation, and system design best practices

Who You Are

• You have significant experience designing and building production-grade machine learning systems at scale
• You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar
• You have experience with—or a strong interest in—multimodal machine learning across areas such as text, audio, image, or video
• You have built systems where machine learning outputs inform or automate real-world decisions
• You understand how to balance automation with quality, safety, reliability, and user experience
• You’re comfortable tackling complex and ambiguous technical problems with significant product and business impact
• You think in systems, connecting models, data, infrastructure, and decisioning to platform-level outcomes and user experiences
• You care deeply about data quality, rigorous evaluation, fairness, explainability, and system reliability
• You’re an experienced technical leader who communicates clearly, mentors others, and can influence across technical and non-technical teams

Where You Will Be

This role is based in New York.

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Learn about life at Spotify

The United States base range for this position is $281,196 - $401,709 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

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