应用研究科学家-个性化
Applied Research Scientist - Personalization
你将负责
开发和实验新的语音合成和语音识别方法，以及端到端的方法，基于最新的研究和想法进行构建。
致力于扩展我们的语音应用场景，针对不同的市场和产品。
作为一支高度积极的研究团队的一员，专注于构建和创建大规模模型来支持Spotify平台。
推动研究和开发的最佳实践，与Speak内部的其他研究人员分享你的知识和经验。
与我们的工程和数据团队合作，就需要新基础设施或高质量数据的新想法进行协作，同时帮助改进我们的语音识别和语音合成流程，并帮助将经过验证的想法转化为可扩展的产品。
你将具备
扎实的机器学习背景（拥有博士学位者优先），并具有以下任一方面的经验：transformers、GANs、扩散模型、流匹配、VAEs、音频编解码器。
有开发用于语音合成、语音识别、音频/音乐、自然语言处理或计算机视觉的生成模型的经验。
精通Python，特别是PyTorch。
具备出色的沟通能力，能够清晰地向技术人员和非技术人员解释技术概念。
在学术或专业环境中进行过高质量研究的经验。
你将工作于
该职位位于伦敦或斯德哥尔摩。
我们为你提供在最适合的地方工作的灵活性！将有一些线下会议，但仍允许在家工作的灵活性。
Spotify是一个平等机会雇主。无论你来自哪里、外貌如何，或是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。我们业务中代表和放大越多的声音，我们就能更加繁荣发展、做出贡献并保持前瞻性！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，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办法请求合理的便利措施，并帮助满足你的需求。如果你在申请或面试的任何阶段需要便利措施，请告诉我们。
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What You'll Do
Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas.
Work towards the expansion of our speech use-cases targeting different markets and products.
Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform.
Champion best practices for research and development, sharing your knowledge and experience with other researchers within Speak.
Collaborate with our engineering and data teams on ideas requiring new infrastructure or new high-quality data, as well as to help improve our speech recognition and speech synthesis pipelines, and help turn proven ideas into scalable products.
Who You Are
You have a strong background in ML (PhD degree on top of professional experience), and
experience in working with any of the following: transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.
You have experience in developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.
You have strong experience with Python, particularly PyTorch.
You have strong communication skills and the ability to explain technical ideas with clarity to technical and non-technical people alike.
You have experience in an academic or professional setting conducting high-quality research.
Where You'll Be
This role is based in London or Stockholm.
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.