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- Tasks: Join a team innovating Spotify's user experience through machine learning and AI research.
- Company: Spotify connects over 600M listeners globally with music, podcasts, and audiobooks.
- Benefits: Enjoy flexible working options and the chance to impact millions of users.
- Why this job: Be part of groundbreaking research that shapes the future of personalised audio experiences.
- Qualifications: Masters or PhD in machine learning or related fields; strong ML expertise required.
- Other info: Engage with the research community through publications and conferences.
The predicted salary is between 43200 - 72000 £ per year.
Spotify has more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest things they might not be aware of that they would like.
We are looking for a Senior Research Scientist with a machine learning background to help us improve personalization experiences by integrating state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing ML technologies that power intelligent user experiences for long-term satisfaction.
You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community.
What You\’ll Do
- Participate in groundbreaking research in machine learning and artificial intelligence with a focus on large-scale foundation models.
- Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on ML development.
- Work on practical applications such as recommendation, search, voice and language understanding, and areas related to music and talk audio.
- Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.
- You\’ll have product impact, while working on and further developing a long-term research roadmap.
- You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences.
Who You Are
- You have a Masters or PhD in machine learning, data science, or related areas or are enrolled in an advanced degree program.
- Demonstrated expertise in machine learning or artificial intelligence through peer-reviewed publications at conferences or journals such as NeurIPS, ICML, ICLR, KDD or related.
- A solid understanding of machine learning and past research experience on recommender systems.
- Solid hands-on skills in implementing advanced ML algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data.
- You have a passion for making sense of user behavior, especially talk and music content, using the best available methods.
- You\’re a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
Where You\’ll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the UK region as long as we have a work location.
- This team operates within the GMT time zone for collaboration.
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Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and generative AI technologies. Being well-versed in current trends will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research community by attending conferences or webinars related to machine learning and recommender systems. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with large-scale data analysis and ML algorithms through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your past research and its impact on real-world applications, especially in music and audio contexts. Highlighting your ability to translate complex concepts into practical solutions will resonate well with the hiring team.
We think you need these skills to ace Senior Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and artificial intelligence. Focus on your publications, projects, and any hands-on skills that align with the job description, especially those related to recommender systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for personalization technologies and your understanding of Spotify's mission. Mention specific projects or experiences that demonstrate your problem-solving skills and creativity in tackling complex challenges.
Highlight Research Contributions: If you have published papers or contributed to significant research, make sure to include this information prominently. Discuss how your work has impacted the field and how it relates to the role at Spotify, particularly in the context of generative AI and ML technologies.
Showcase Collaboration Skills: Since the role involves working with interdisciplinary teams, provide examples of past collaborations. Highlight your ability to communicate effectively with scientists, engineers, and product managers, and how these experiences have led to successful outcomes.
How to prepare for a job interview at Spotify
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to machine learning and recommender systems. Highlight any peer-reviewed publications and how they contribute to the field, as this will demonstrate your expertise and commitment to advancing knowledge.
✨Demonstrate Problem-Solving Skills
Expect to face complex problem scenarios during the interview. Use the STAR method (Situation, Task, Action, Result) to articulate how you've approached similar challenges in the past, focusing on your creative solutions and the impact they had on your projects.
✨Familiarise Yourself with Spotify's Technology
Research Spotify's current technologies and initiatives, particularly in personalization and AI. Understanding their approach will allow you to tailor your responses and show how your skills can directly contribute to their goals.
✨Engage with the Interviewers
Interviews are a two-way street. Prepare thoughtful questions about the team dynamics, ongoing projects, and future directions of the research at Spotify. This not only shows your interest but also helps you assess if the company is the right fit for you.
