资深机器学习工程师 - 内容平台
Senior Staff Machine Learning Engineer - Content Platform
我们设计Spotify的消费者体验——从头到尾，每一刻，跨所有屏幕、平台和合作伙伴集成。我们的使命是让全球数十亿用户在聆听时感到轻松、个性化和愉悦。这意味着在数百个接触点上将复杂性转化为清晰度——从我们的移动和桌面应用到智能音箱、电视、汽车以及Spotify每天出现的其他集成平台。凡是与消费者有关的，我们都会塑造它。我们深入理解人类行为、设计和技术，打造直观、富有表现力且 unmistakably Spotify 的体验。
内容平台团队为Spotify上的音乐、播客、有声书和新兴格式的内容全生命周期提供支持。我们确保从授权目录到用户生成的内容，都能被理解、信任、安全且高质量，为全球数百万听众服务。我们的系统负责内容如何被摄入、理解、增强、管理并分发到整个平台。
随着内容规模和多样性的持续增长——由AI的进步、新的创作工具和新兴内容格式推动——我们正在投资于能够在全球范围内可靠地理解和评估、管理及路由内容的智能系统。
我们正在招聘高级资深机器学习工程师，以构建和扩展支撑Spotify内容理解、安全、政策执行和决策的基础ML系统。根据你的经验和兴趣，你可能会专注于从多模态内容理解到平台级ML系统，再到安全、风险检测、政策执行和合规性等不同领域。
你将帮助塑造Spotify在全球范围内理解并做出内容相关决策的技术架构和战略。这项工作对于为听众和创作者提供安全、高质量的体验至关重要，同时也能让人们以新的方式与Spotify上的内容互动。
该职位在美国的薪资范围为281,196美元至401,709美元，外加股权。该职位提供的福利包括健康保险、六个月带薪育儿假、401(k)退休计划、每月餐饮补贴、23天带薪假期、13天带薪灵活假日和带薪病假。这些薪资范围未来可能有所调整。
你将负责
- 在内容理解、安全、政策执行和平台级决策方面定义并推动机器学习策略
- 构建和扩展可扩展的机器学习系统
查看英文原文
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.
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.
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.