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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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At least 2 years of experience mentoring and leading teams developing AI and Machine Learning solutions. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.
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Bachelor’s degree in Computer Science, Computer Engineering or a technical field. 11 West 19th Street (22008), United States of America, New York, New YorkSenior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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The Central Science Team within Amazons People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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Remote (Regardless of Location): $198,900 - $227,000 for Sr. Mgr, Machine Learning Engineering. Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible.
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