[Urgent] Machine Learning Engineer - ContentUnderstanding

Delivering the best Spotify experience possible. To asmany people as possible. In as many moments as possible. That’swhat the Experience team is all about. We use our deepunderstanding of consumer expectations to enrich the lives ofmillions of our users all over the world, bringing the music andaudio they love to the devices, apps and platforms they use everyday. Know what our users want? Join us and help Spotify give it tothem. As a Machine Learning Engineer in our Content Understandingteams, you will help define and build ML deployed at scale insupport of a broad range of use cases driving value in media andcatalog understanding. Here are some examples of the work you maysupport: Audio fingerprinting to understand what music is played inpodcasts enabling musicians to get royalties, Video and imagetagging to understand what is happening in any video on Spotify formoderation and recommendations, Audiobook Author attribution usinggraph ML approaches for search and recommendations, Categorizingtracks in the catalog to know which are functional content or musictracks leveraged in royalty calculations and in search andrecommendations. Our teams are composed of product, machinelearning, data and backend engineers, and subject matter expertswho average 11 years behind the scenes in the music industry. Weare looking for a Machine Learning Engineer to help us define andbuild Spotify’s capabilities in this area. Our team expands thestate of the art in AI-based machine technology, which enablesintelligent, efficient, and intuitive ways to search, re-use,explore or process metadata. You will use world-class engineeringand machine learning techniques on real-world, internal, andexternal big data to directly impact the evolution of our musiccatalog. What You'll Do - Build production systems that enrich andimprove our listeners’ experience on the platform - Contribute todesigning, building, evaluating, shipping, and refining Spotify’sproduct by hands-on ML development - Prototype new approaches andproduction-ize solutions at scale for our hundreds of millions ofactive users - Help drive optimization, testing, and tooling toimprove quality - Perform data analysis to establish baselines andinform product decisions - Collaborate with a cross functionalagile team spanning design, data science, product management, andengineering to build new technologies and features Who You Are -You have professional experience in applied machine learning -Extensive experience working in a product and data-drivenenvironment (Python, Scala, Java, SQL, or C++, with Pythonexperience required) and cloud platforms (GCP or AWS). - You havesome hands-on experience implementing or prototyping machinelearning systems at scale - You have experience architecting datapipelines and are self-sufficient in getting the data you need tobuild and evaluate models, using tools like Dataflow, Apache Beam,or Spark. - You care about agile software processes, data-drivendevelopment, reliability, and disciplined experimentation - Youhave experience and passion for fostering collaborative teams -Experience with TensorFlow, pyTorch, and/or Google Cloud Platformis a plus - Experience with building data pipelines and getting thedata you need to build and evaluate your models, using tools likeApache Beam / Spark is a plus Where You'll Be - This role is basedin London (UK). - We offer you the flexibility to work where youwork best! There will be some in-person meetings, but still allowsfor flexibility to work from home. We ask that you come in 3 timesper week. #J-18808-Ljbffr