Senior Research Scientist

Key Skills

Aartificial intelligence, Machine learning techniques, NeurIPS

Job Description

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.

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.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.