Top Machine Learning Jobs in NYC
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Apply sophisticated machine learning methods to tasks such as NLP, speech analytics, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.
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Looking for a senior machine learning and AI leader to join and lead Cash App's Personalization ML Modeling group. Responsibilities include growing and leading a team of machine learning modelers, partnering with product and business leaders, identifying new opportunities, and contributing to strategic plans.
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Lead and grow Cash App's Personalization ML Modeling group, working closely with product leaders to incorporate machine learning into new features and enhance existing products. Mentor a team of machine learning modelers, collaborate with senior leadership, and contribute to strategic plans.
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Design equitable and competitive compensation programs, determine base pay based on skills and expertise, three geographic pay zones in the United States, benefits, bonuses, commissions, and equity available.
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Research, design, and build high-impact machine learning systems for customer growth. Lead scalable ML solutions in production, promote best practices, and foster a diverse community of data scientists and ML engineers.
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As a Senior Software Engineer on this team, you will help us build new machine learning models to improve the quality of video playback for our customers.
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Develop atomistic machine learning force fields for battery materials, simulate chemical processes, and validate models.
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GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts. The ideal candidate should possess practical, hands-on data and analytics technical expertise and strong understanding of various machine learning models. Responsibilities include developing and implementing analytical capabilities, building machine learning models and pipelines, improving infrastructure, and mentoring junior engineers.
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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business. You will implement and deploy modeling approaches, work with data science techniques, support team members in updating existing models, and collaborate with product and platform teams.
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Seeking a Senior Machine Learning Engineer to join DigitalOcean's Growth team, focusing on AI/ML solutions for high-value customers. Responsibilities include driving adoption, building AI/ML solutions, planning infrastructure architecture, and providing technical consultation. Requires technical depth, strong communication skills, and a self-starter mentality.
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