研究科学家 - 个性化
Research Scientist - Personalization
个性化团队让每位听众决定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些功能。加入我们，你将通过为每一位用户做出优秀的推荐，让数百万用户持续聆听。
Spotify 的个性化组织构建了帮助数百万听众发现他们喜爱内容的技术。在这个领域中，我们的研究团队专注于推动机器学习和人工智能的前沿技术，塑造个性化的未来。我们探索新方法，挑战现有假设，并在影响长期产品方向的同时，为更广泛的研究社区做出贡献。
该职位的美国基准薪资范围为 133,194 至 190,278 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) 养老计划、每月餐饮补贴、23 天带薪假期、13 天带薪灵活假日。此范围可能会在未来进行调整。
Spotify 是一家平等机会雇主。无论你来自哪里、长什么样，或耳机里播放的是什么，你都在 Spotify 受欢迎。我们的平台属于每个人，我们的工作场所也是如此。我们业务中代表和放大越多的声音，我们就能共同成长、贡献并保持前瞻性！所以，请带来你的个人经历、观点和背景。正是在我们的差异中，我们将找到不断革新世界聆听方式的力量。
在 Spotify，我们热衷于包容性，确保整个招聘过程对每个人都是可访问的。我们在面试过程中有方式可以请求合理的便利措施，并帮助你满足所需支持。如果你在申请或面试过程的任何阶段需要便利措施，请告诉我们——我们在这里以我们能想到的任何方式支持你。
你将负责：
- 在机器学习和人工智能领域开展原创研究，重点关注大规模基础模型和生成式 AI
- 开发新颖的方法论、模型和评估框架，以提升个性化系统
- 设计并执行严谨的实验，探索新想法并验证研究假设
- 通过发表论文、演讲和会议，为科学界做出贡献
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What You'll Do
Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning.
Develop novel methodologies, models, and evaluation frameworks to advance personalization systems.
Design and execute rigorous experiments to explore new ideas and validate research hypotheses.
Contribute to the scientific community through publications, talks, and conference participation.
Collaborate with cross-functional partners to translate research insights into long-term product opportunities.
Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy.
Mentor others and contribute to a strong, curious, and collaborative research culture.
Who You Are
You have a Master’s or PhD in machine learning, AI, or a related field, or equivalent research experience.
You have demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys.
You have deep knowledge of machine learning, with hands-on experience in areas such as post-training and reinforcement learning for large models, reward design, large-scale distributed training, or evaluation of model behavior.
You are experienced in designing experiments and working with real-world datasets to validate research ideas.
You care about advancing understanding of user behavior and improving experiences across music and talk content.
You bring curiosity, creativity, and a thoughtful approach to solving complex, open-ended problems.
You value collaboration and actively seek diverse perspectives in your work.
Where You'll Be
This role is based in London.
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.
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.