{"schemaVersion":"jobsearcher.job.v1","id":"e90b8ee57b60447f09ef0e71","url":"https://jobsearcher.com/jobs/e90b8ee57b60447f09ef0e71","canonicalUrl":"https://jobsearcher.com/jobs/e90b8ee57b60447f09ef0e71","title":"Sr. Machine Learning Engineer, Core Engineering","description":"Overview\nIn this role you will develop cutting-edge ML and deep learning solutions to personalize Pinterest at scale. You will partner with cross-functional teams to experiment with models across surfaces like Homefeed, Ads, Growth, Shopping, and Search. You’ll leverage data-driven approaches to improve candidate retrieval and drive rapid product-ready experimentation. This is a high-impact role in a data-rich environment that values innovation, collaboration, and staying ahead of ML trends.\n\nCompensation / Benefitsequityremote worksalary range disclosedinclusive workplacecareer growth opportunitiesflexible work arrangements\nResponsibilitiesBuild and deploy cutting-edge ML models and DL techniques to personalize Pinterest experiencesCollaborate with cross-functional teams to experiment and iterate on ML models across product surfacesDevelop data-driven methods to improve candidate retrieval and rankingOperate in a fast-paced environment with quick experimentation and product launchesStay updated with industry trends in recommendation systems\nKey requirements4+ years of industry ML experience (e.g., user modeling, personalization, recommender systems, search, ranking, NLP, reinforcement learning, graph learning)End-to-end experience building data processing pipelines and large-scale ML systemsExperience with big data technologies (e.g., Hadoop, Spark) and data processing pipelinesDegree in computer science, machine learning, statistics, or related fieldcollaborativedata-driven decision makingstrong communicationdeep learningmachine learningrecommender systems","company":"Pinterest","rawCompany":"pinterest","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:59:43.832Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Machine Learning Engineer, Core Engineering","description":"Overview\nIn this role you will develop cutting-edge ML and deep learning solutions to personalize Pinterest at scale. You will partner with cross-functional teams to experiment with models across surfaces like Homefeed, Ads, Growth, Shopping, and Search. You’ll leverage data-driven approaches to improve candidate retrieval and drive rapid product-ready experimentation. This is a high-impact role in a data-rich environment that values innovation, collaboration, and staying ahead of ML trends.\n\nCompensation / Benefitsequityremote worksalary range disclosedinclusive workplacecareer growth opportunitiesflexible work arrangements\nResponsibilitiesBuild and deploy cutting-edge ML models and DL techniques to personalize Pinterest experiencesCollaborate with cross-functional teams to experiment and iterate on ML models across product surfacesDevelop data-driven methods to improve candidate retrieval and rankingOperate in a fast-paced environment with quick experimentation and product launchesStay updated with industry trends in recommendation systems\nKey requirements4+ years of industry ML experience (e.g., user modeling, personalization, recommender systems, search, ranking, NLP, reinforcement learning, graph learning)End-to-end experience building data processing pipelines and large-scale ML systemsExperience with big data technologies (e.g., Hadoop, Spark) and data processing pipelinesDegree in computer science, machine learning, statistics, or related fieldcollaborativedata-driven decision makingstrong communicationdeep learningmachine learningrecommender systems","datePosted":"2026-09-15T03:59:43.832Z","dateModified":"2026-09-15T03:59:43.832Z","hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e90b8ee57b60447f09ef0e71"},"url":"https://jobsearcher.com/jobs/e90b8ee57b60447f09ef0e71"}}