机器学习工程经理，个性化
Machine Learning Engineering Manager, Personalization
个性化团队让每位听众选择接下来播放什么变得更简单、更有趣。从 Blend 到 Discover Weekly，我们打造了 Spotify 最受欢迎的功能之一。我们通过比任何人都更深入地理解音乐和播客的世界来实现这一点。加入我们，你将通过为每一位用户做出优秀的推荐，持续吸引数百万用户收听。
你将加入 Sessions 中的 Saturn 小组，这是 Spotify 个性化使命的一部分。该团队专注于训练和提升用于排序和个性化的机器学习模型，包括 Radio 和 Daily Mix 等深受喜爱的聆听体验。作为个性化战略的一部分，团队还在通过开发和采用新的方法来塑造生成式推荐的未来，这些方法利用大语言模型，包括对模型进行微调以提高播放列表的质量、相关性和个性化程度。作为工程经理，你将领导一支由机器学习、后端和数据工程师组成的专业团队，同时提供技术方向和人员领导力，帮助团队每天为数百万听众交付创新的 ML 能力。
你将负责
- 领导、指导和发展机器学习工程师团队，营造包容、高效的工作文化。
- 与产品、数据科学和工程负责人合作，为团队设定技术方向，交付有影响力的机器学习能力。
- 指导大规模生产机器学习系统的架构设计、开发、部署和运营。
- 通过技术指导、职业发展、绩效管理和定期反馈支持工程师成长。
- 通过帮助团队优先处理工作、消除障碍和持续改进交付效率来推动执行。
- 通过现代软件工程实践、实验和运营卓越来促进工程卓越。
- 与其他小组和任务团队合作，影响技术战略并确保个性化组织内部的一致性。
- 推动新兴机器学习技术（包括大语言模型）的审慎采用，以创造有意义的用户体验价值。
你具备
- 领导和发展高效工程团队的经验。
- 通过指导、辅导和支持工程师的职业发展建立信任。
- 在构建和优化机器学习系统方面有深厚的专业知识。
查看英文原文
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
What You'll Do
- Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
- Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
- Guide the design, development, deployment, and operation of production machine learning systems at scale.
- Support engineers through technical mentorship, career development, performance management, and regular feedback.
- Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
- Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
- Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
- Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.
Who You Are
- You have experience leading and developing high-performing engineering teams.
- You have built trust through coaching, mentoring, and supporting engineers in their career growth.
- You have deep expertise building and operating production machine learning systems at scale.
- You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
- You are experienced working with modern machine learning techniques, including large language models and generative AI applications.
- You communicate effectively across engineering, product, and data science partners.
- You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
- You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.
The United States base range for this position is $184,049- $262,928 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.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Originally posted on Himalayas