Senior Research Scientist

Spotify; London; Remote; GBP 125,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Research Scientist, where you'll leverage cutting-edge machine learning techniques to enhance personalization experiences. In this role, you'll work with an interdisciplinary team to innovate and redefine user experiences through generative AI technologies. Your contributions will not only impact product development but also advance the research community through publications and conference engagements. If you're passionate about pushing the boundaries of technology and enjoy tackling complex challenges, this is the perfect opportunity for you.

Qualifications

• Masters or PhD in machine learning, data science, or related fields.
• Expertise in ML or AI with peer-reviewed publications.

Responsibilities

• Conduct groundbreaking research in machine learning and AI.
• Collaborate with teams to design innovative solutions.

Skills

Machine Learning

Artificial Intelligence

Data Analysis

Problem Solving

User Behavior Analysis

Education

Masters in Machine Learning

PhD in Data Science

Tools

NeurIPS

ICML

ICLR

KDD

Job description

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.