Sr. Machine Learning Engineer, Core Engineering

Overview In 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. Compensation / Benefitsequityremote worksalary range disclosedinclusive workplacecareer growth opportunitiesflexible work arrangements ResponsibilitiesBuild 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 Key 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