后端工程师，Mimir，个性化
Backend Engineer, Mimir, Personalization
Spotify的个性化使命让粉丝和艺术家以更相关和有意义的方式建立联系。我们构建Spotify中个性化体验背后的技术，帮助听众发现并参与他们喜爱的内容。
我们正在寻找一名后端工程师加入我们个性化团队，该团队构建支撑Spotify推荐功能的基础后端基础设施。我们的系统帮助团队高效地识别、检索、排序和筛选相关内容，为全球数百万听众创造个性化体验。
该团队负责大规模系统，支持内容和用户表示、候选生成以及推荐的集中过滤。我们的技术被广泛应用于Spotify的用户界面体验中，为你提供展示技术能力的机会。
该职位在美国的薪资范围为132,948–189,927美元，加上股权。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天带薪灵活假日以及带薪病假。这些薪资范围可能会在未来进行调整。
Spotify是平等机会雇主。无论你来自哪里、外貌如何，或耳机里播放的是什么，你都可以在Spotify找到属于自己的位置。我们的平台属于每个人，我们的工作场所也是如此。我们越能代表和放大多样化的观点，我们就能越快成长、贡献并保持前瞻性！所以，请带来你的个人经历、视角和背景。正是我们的差异，让我们拥有不断革新世界听歌方式的力量！
在Spotify，我们热衷于包容性，并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，并协助满足你的需求。如果你在申请或面试过程中的任何阶段需要便利措施，请告诉我们——我们会尽最大努力支持你。
你将负责：
- 构建、维护并演进支持Spotify规模个性化和推荐的后端系统。
- 开发能够实现个性化内容高效检索、排序和筛选的基础设施。
- 构建支持候选生成以及内容和用户表示的平台功能。
- 设计可靠、可扩展的系统架构。
查看英文原文
Spotify’s Personalization Mission makes it easier for fans and artists to connect in more relevant and meaningful ways. We build the technology behind personalized experiences across Spotify, helping listeners discover and engage with the content they love.
We’re looking for a Backend Engineer to join a team within our Personalization organization that builds foundational backend infrastructure powering recommendations across Spotify. Our systems help teams efficiently identify, retrieve, rank, and filter relevant content to create personalized experiences for millions of listeners around the world.
The team works on large-scale systems that support content and user representations, candidate generation, and centralized filtering for recommendations. Our technology is used across many of Spotify’s user-facing experiences, giving you the opport
The United States base range for this position is $132,948–$189,927 USD, 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.
What You'll Do
- Build, maintain, and evolve backend systems that support personalization and recommendations at Spotify scale.
- Develop infrastructure that enables efficient retrieval, ranking, and filtering of personalized content.
- Build platform capabilities that support candidate generation and representations of content and users.
- Design reliable, scalable, and performant services capable of supporting high-volume recommendation workloads.
- Partner with engineers and teams across Spotify to understand their needs and build reusable platform solutions.
- Improve the reliability, observability, maintainability, and operational performance of the systems the team owns.
- Participate in technical design discussions and contribute to architectural decisions as our platforms continue to evolve.
Who You Are
- You have professional experience building and operating backend systems in production.
- You have experience with distributed systems, APIs, data-intensive applications, or large-scale service architectures.
- You’re comfortable working with systems where reliability, latency, and scalability matter.
- You can independently own engineering projects while collaborating effectively with engineers across teams.
- You’re interested in the infrastructure behind recommendation and personalization systems; prior machine learning experience is helpful but not required.
- You enjoy solving platform-level problems and building systems that other engineering teams depend on.
- You care about writing maintainable code, making thoughtful technical decisions, and continuously improving production systems.
Where You'll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be anywhere in the North America region in which we have a work location
- Prefer to work in an office environment? Prefer to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration.