Staff Machine Learning Engineer, Core Engineering at Pinterest

With more than 600 million users around the world and 400 billion ideas saved Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4000 global employees our teams are small mighty and still growing. At Pinterest youll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you wont find anywhere else.We are seeking talentedStaff Machine Learning Engineers for multiple openings across our Core Engineering organization including teams such as Search Notifications and Content & User these roles you will drive the development of state-of-the-art applied machine learning systems that power core Pinterest experiences.What youll do:Design features and build large-scale machine learning models to improve user ads action prediction with low latencyDevelop new techniques for inferring user interests from online and offline activityMine text visual user signals to better understand user intentionWork with product and sales teams to design and implement new ad productsWhat were looking for:Degree in computer science machine learning statistics or related field6 years of industry experience building production machine learning systems at scale data mining search recommendations and/or natural language processing2 years of experience leading projects/teamsStrong mathematical skills with knowledge of statistical methodsCross-functional collaborator and strong communicatorIn-Office Requirement Statement:We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.Relocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.#LI-REMOTE#LI-AK7Required Experience:Staff IC Key Skills Computer Science,Docker,Kubernetes,Python,VMware,C/C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems Employment Type : Full-Time Experience: years Vacancy: 1