Not provided by employer
Product research science
We are looking for a research scientist to help us define and build the next generation of ml-based audio technologiesWe are an interdisciplinary team of research scientists and engineers focused on ensuring that the foundations of spotify technologies are at or above the state of the art and, in the process, on advancing our fieldOur research enables efficient and intuitive ways to experience, organise, search, or re-use audio and musicWe build products for end-users, artists, producers, labels, publishers, and advertisers - projects that cut across all of spotifyWe build features to improve products and lay the foundations for ground-breaking new product opportunities.
New york or remote americas
What you`ll do:
You will participate in pioneering research in ml-based audio processing, music information retrieval, and machine learning.
You will apply your scientific knowledge to develop and evaluate methods combining machine learning, signal processing, probabilistic modeling, and many other fields.
You will run experiments at scale, having access to a catalog of 80m+ songs, 400m+ monthly active users, and making use of spotify’s computing infrastructure.
You will work on practical applications enabling users and internal teams to search and experience spotify`s content in novel ways.
You will be a valued member of an autonomous, cross-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across spotify to design creative solutions to challenging problems.
You will have a direct impact on spotify’s products, tools, and services, working on projects that cut across the entire organization.
External engagement such as publishing, giving talks, and attending top conferences is encouraged.
Who you are:
You have a ph.dDegree in computer science, mathematics, engineering, or a related fieldPrevious industry experience is a plus.
You have experience working with music audio data in one or more of the following fields: machine learning, music information retrieval, speech processing, signal processing, probabilistic modeling, or related areas.
Your work has been published at venues such as icassp, ismir, interspeech, iclr, aaai, ijcai, neurips, icml, cvpr, eccv, iccv, or related.
You have strong programming skills and know-how to write maintainable code in the following languages/libraries: python, numpy, and tensorflow or pytorch.
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
You are enthusiastic about learning more about audio processing and music information retrieval as well as developing research ideas into products operating at scale.
You can explain complex topics in simple terms, and you love building strong relationships with colleagues and collaborators.
Where you`ll be:
We are a distributed workforce enabling our band members to find a work mode best for them!
Where in the world? for this role, it can be within the americas region in which we have a work location.
Prefer an office to work from home instead? not a problem! we have plenty of options for your working preferencesFind more information about our work from anywhere options here.
Working hours? we operate within the eastern standard time zone for collaboration.
Our global benefits
Extensive learning opportunities, through our dedicated team, greenhouseFlexible share incentives letting you choose how you share in our successGlobal parental leave, six months off - fully paid - for all new parentsAll the feels, our employee assistance program and self-care hubFlexible public holidays, swap days off according to your values and beliefsSpotify on tour, join your colleagues on trips to industry festivals and events.
Learn about life at spotify
We are proud to foster a workplace free from discriminationWe strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creatorsThis is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.
Spotify is an equal opportunity employerYou are welcome at spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphonesOur platform is for everyone, and so is our workplaceThe 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 backgroundIt’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008Our 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 creatorsEverything we do is driven by our love for music and podcastingToday, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
Global covid and vaccination disclosure spotify is committed to safety and well-being of our employees, vendors and clientsWe are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendanceFor the us, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-partiesFor all other locations, we strongly encourage our employees to get vaccinated and also follow local covid and safety protocols.
This role is not eligible for hire in colorado, usa.
Posted 30+ days ago