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Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Digital Technlogy, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way.
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Strong familiarity with the principles of related disciplines such as Computer Vision, Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analysis, and Hypothesis Testing.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Machine Learning Engineer (Python)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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Usage of Azure Storage ranges drastically - from hot access such as disks, to millisecond access such as video streaming data, to cold data such as archival data, and to hyperscale access, big data, machine learning, and many more.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. You are a talented Full Stack Software Engineer looking to build the next generation of VR games.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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At Capital One, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.
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We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. This is an opportunity to join as Senior Front End Engineer on the Moderation Review Team. You will help build the tools used by the Safety Operations team to help keep Roblox a safe place for everyone.
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Internal Software Engineer, BPE. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands.
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To be successful in this role you will be expected to design/ integrate systems, create cutting-edge solutions optimized for Amazon Web Services (AWS), provide hands-on Cloud analytics and Machine Learning consulting services to defense and intelligence customers in the federal government.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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