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 technical leadership


L7 Senior Staff Data Scientist and Machine Learning Engineer at Coupang - Seattle, USA

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We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds -- a startup culture with the resources of a large global public company.


Staff Data Engineer - Cloud Data Architecture

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Together we're building a company that will endure and products people will love for generations to come. We believe that people do their best in a culture that fosters inclusion, innovation, and success. Our values - Champion the Customer, Take the Lead, Run Together, Ack Own and Bring Yourself - serve as the foundation of our collaborative and dynamic culture. Whether it's conducting a retrospective, participating in our bi-annual hack weeks, cranking out a new product feature, supporting our two PagerDuty brands, or doing our day to day work, Dutonians live and breathe these five values every day. Together, we solve real customer issues and fulfill our mission of connecting teams to real-time opportunities and elevate work to the outcomes that matter.


Automation in small steps

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All organizations communicate their vision and roadmap of big events each year; some achieve them successfully. If you or your company is working on such large programs and would like to use automation to improve your process and create larger programs, please read on. Any large organization faces the same challenges throughout trying to make a big initiative more or less. The following are the two main challenges affecting such rollouts. These challenges are not new, but small and large enterprises have been impacted by it.


[Links of the Day] 31/10/2019 : Technical Leadership , Agile culture , State of #MachineLearning frameworks

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Technical Leadership decisions: really cool slide deck that provide a quick overview of what encompasses technical leadership. It's just worth to give it a look for the great book and website reference Growing an Agile Culture: Belinda Waldock explores what modern agile culture looks and feels like, and the attitudes, values and beliefs needed to grow and sustain a culture of agility in teams and organizations. The state of Machine learning Framework: TL;DR: pytorch is heavily represented in academia while tensorflow retain the preference of industry. Technical Leadership decisions: really cool slide deck that provide a quick overview of what encompasses technical leadership. It's just worth to give it a look for the great book and website reference Growing an Agile Culture: Belinda Waldock explores what modern agile culture looks and feels like, and the attitudes, values and beliefs needed to grow and sustain a culture of agility in teams and organizations. The state of Machine learning Framework: TL;DR: pytorch is heavily represented in academia while tensorflow retain the preference of industry.


Senior Machine Learning Scientist

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Are you interested in building, leading and driving the machine learning technical vision, strategy and implementation for product development centered on protecting our customers from potentially unsafe products? Global Product Safety and Compliance (GPSC) is hiring a Senior Machine Learning Scientist (MLS) to lead the definition and prioritization of machine learning capability for emerging risk assessment, proactive safety controls, and dynamic product classification. GPSC Product and Technology is responsible for the technology infrastructure enabling the safety of all products globally at Amazon. You will be a senior technical leader in the existing GPSC Product and Technology team to drive the data science and machine learning needed for our product development and safety control processes. Our goal is to disrupt the current state of risk assessment at Amazon and the world by using machine learning to bring together deep subject matter expertize and automated data-driven decision-making.