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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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What You’ll Do:Design and build improvements to our unique machine learning algorithm that improve Community Notes’ helpfulness, accuracy, scale, speed, and manipulation resistance. Build efficient, scalable internal production machine learning systems and infrastructure.
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Architects the underlying operating system, core services, platform infrastructure, dev toolkits, core algorithms, machine learning models, packaged end-user apps, and app store marketplace.
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Collaborating with Product Designers, Managers, and researchers, you'll craft user-facing applications that leverage cutting-edge technologies like Computer Vision, NLP, and Machine Learning.
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We are looking for a Product Marketing Manager who can bring our products to life and speak to our audience of developers, engineers, and learners looking to get started in the field of AI and machine learning.
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Established in 2014 and valued at $5B, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping thousands of companies like Uber, Instacart, Netflix, Compass Group, and Adecco to hire great new people with an experience that’s fast, smooth, and safe.
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Lead the effort for Merchant machine learning: Applying supervised, semi-supervised, LLM, Deep Learning, Multi-modality AI to improve or Merchant experience and build new merchant’s productsLead the team to build AI powered products for restaurants onboarding, build logistic ETA that provides the most accurate and robust time prediction for non-restaurants DoorDash logistics service, improve tax categorization prediction.
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M.S. or Ph. D. in Machine Learning, Operations Research, Optimization, Computer Science, or other quantitative fields or related work experience. They cut across optimization, prediction, machine learning, and inference.
$139,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In this role, you'll join the Data Science and Platform (DSP) team at Chime, responsible for developing innovative machine learning (ML) solutions in the fintech industry. Coursework or hands-on experience in building advanced machine learning techniques, including GBM’s, deep learning models, embeddings, Graph Neural Networks (GNNs), transformers, etc.
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Design, build, and maintain data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Production, Trust & Safety, and Business Analytics internal customersCollaborate closely with Data Scientists to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases.
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Have an in-depth understanding of deep learning research and/or strong engineering skills, particularly proficient in programming languages such as Python and machine learning frameworks like PyTorch (preferred) or TensorFlow.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. 3+ years of experience in machine learning, data analysis, or a related field.
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As a Senior/Staff Machine Learning Engineer on the Ads Machine Learning team at Nextdoor, you will have a unique opportunity to build all optimization engines from the ground up with the state-of-art technology.
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Drive the development and implementation of advanced analytics solutions, including predictive modeling, machine learning, and artificial intelligence techniques, to solve complex business problems and drive business outcomes.
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machine learning jobs in San Francisco, CA
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