Machine Learning Engineer, Content Understanding

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. Location - London Job type Permanent As a Machine LearningEngineer in our Content Understanding teams, you will help defineand build ML deployed at scale in support of a broad range of usecases driving value in media and catalog understanding. Here aresome examples of the work you may support: - Audio fingerprintingto understand what music is played in podcasts enabling musiciansto get royalties - Video and image tagging to understand what ishappening in any video on Spotify for moderation andrecommendations - Audiobook Author attribution using graph MLapproaches for search and recommendations - Categorizing tracks inthe catalog to know which are functional content or music tracksleveraged in royalty calculations and in search and recommendationsOur teams are composed of product, machine learning, data andbackend engineers, and subject matter experts who average 11 yearsbehind the scenes in the music industry. We are looking for aMachine Learning Engineer to help us define and build Spotify’scapabilities in this area. Our team expands the state of the art inAI-based machine technology, which enables intelligent, efficient,and intuitive ways to search, re-use, explore or process metadata.You will use world-class engineering and machine learningtechniques on real-world, internal, and external big data todirectly impact the evolution of our music catalog. What You'll Do- Build production systems that enrich and improve our listeners’experience on the platform - Contribute to designing, building,evaluating, shipping, and refining Spotify’s product by hands-on MLdevelopment - Prototype new approaches and production-ize solutionsat scale for our hundreds of millions of active users - Help driveoptimization, testing, and tooling to improve quality - Performdata analysis to establish baselines and inform product decisions -Collaborate with a cross functional agile team spanning design,data science, product management, and engineering to build newtechnologies and features Who You Are - You have professionalexperience in applied machine learning - Extensive experienceworking in a product and data-driven environment (Python, Scala,Java, SQL, or C++, with Python experience required) and cloudplatforms (GCP or AWS) - You have some hands-on experienceimplementing or prototyping machine learning systems at scale - Youhave experience architecting data pipelines and are self-sufficientin getting the data you need to build and evaluate models, usingtools like Dataflow, Apache Beam, or Spark - You care about agilesoftware processes, data-driven development, reliability, anddisciplined experimentation - You have experience and passion forfostering collaborative teams - Experience with TensorFlow,pyTorch, and/or Google Cloud Platform is a plus - Experience withbuilding data pipelines and getting the data you need to build andevaluate your models, using tools like Apache Beam / Spark is aplus Where You'll Be - This role is based in London (UK) - We offeryou the flexibility to work where you work best! There will be somein person meetings, but still allows for flexibility to work fromhome. We ask that you come in 3 times per week. Extensive learningopportunities, through our dedicated team, GreenHouse. Flexibleshare incentives letting you choose how you share in our success.Global parental leave, six months off - fully paid - for all newparents. All The Feels, our employee assistance program andself-care hub. Flexible public holidays, swap days off according toyour values and beliefs. Learn about life at Spotify You arewelcome at Spotify for who you are, no matter where you come from,what you look like, or what’s playing in your headphones. Ourplatform is for everyone, and so is our workplace. The more voiceswe have represented and amplified in our business, the more we willall thrive, contribute, and be forward-thinking! So bring us yourpersonal experience, your perspectives, and your background. It’sin our differences that we will find the power to keeprevolutionizing the way the world listens. Spotify transformedmusic listening forever when we launched in 2008. Our mission is tounlock the potential of human creativity by giving a millioncreative artists the opportunity to live off their art and billionsof 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 subscriptionservice with a community of more than 500 million users.#J-18808-Ljbffr