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Build and improve large-scale machine learning systems to personalize Pinterest’s recommendation, search, and ads features using deep learning and big data technologies.
Senior Machine Learning Engineer at Pinterest building personalized recommendation systems using deep learning and large-scale data pipelines to enhance user experiences across Homefeed, Ads, and Search.
Leads high-impact, cross-functional programs in Pinterest's Ads & Monetization org, using technical depth and AI tools to scale advertising systems and influence company-wide strategy.
Lead a team of ML researchers and engineers to build next-gen recommendation systems at Pinterest, turning cutting-edge research into production-scale solutions that drive core business metrics.
Lead company-level programs shaping Pinterest’s search and personalization strategy, integrating AI/ML models and offsite signals to drive relevance and shopping experiences.
Staff Product Manager to shape Pinterest’s applied AI/ML platform, balancing innovation and scale by defining roadmaps and aligning research, engineering, and product teams.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring…
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Senior Data Scientist builds and deploys NLP and machine learning models to extract, classify, and analyze large-scale legal, news, and business data for internal products.
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.
Leads AI-driven personalization for DoorDash’s consumer shopping journey, designing and deploying ML models to enhance search, discovery, and recommendations across food, grocery, and retail—scaling teams and mentoring engineers to modernize recommendation systems.
Builds and deploys ML models for personalization and growth, focusing on recommendation systems and causal inference to enhance DoorDash’s grocery/retail search experience using PyTorch/TensorFlow in Python.
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Build and deploy AI models (LLMs, GNNs, deep learning) for robotics and logistics in food and other industries, turning physical operations into scalable, automated systems.
Builds AI-driven robotics systems for physical-world automation (food, mining, transport) by designing and deploying ML models (LLMs, GNNs, deep learning) for real-world control, prediction, and optimization in production environments.
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