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Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) c#, developer, java, software developer, software development engineer, sw. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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As a Catalyx machine vision engineer, you'll be at the forefront of technology working closely with a cross-functional team of software, controls, automation, robotics, and mechatronic engineers to design, develop and deliver innovative machine vision solutions for our customers who are leading the industry in pharmaceutical/biotech, medical device, automotive, logistics and many more.
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Previous experience with machine vision software (camera control, image processing) and/or imaging and characterization hardware (optical, acoustic, or thermal sensors). QuantumScape is looking for a highly skilled and driven Metrology engineer to join our team.
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The Sr Software Engineer will report to the Mgr-Technology. Participates in setting the architectural direction for software development of Dine and Bookable Experiences projects.
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Current TS/SCI security clearance with the ability to obtain a Counterintelligence polygraph. This position requires an active TS/Sensitive Compartmental Information (SCI) security clearance with the ability to obtain a Counterintelligence Polygraph clearance.
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Owns the design and development of technical specifications, software fixes, enhancements, components, and/or new software systems and applications. Proficient in Java, Spring framework, services design patterns and development, RESTful APIs, cloud hosting, CI/CD, SQL Development (DynamoDB, AuroraDB, MongoDB), Docker, GitHub, monitoring/logging tools (e.g. Splunk, Grafana, AppDynamics), and a desire to develop further technical skills.
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Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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We are responsible for the end-to-end digital and physical Guest experience for all technology and digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney.
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Experience in food and beverage, attractions or entertainment industry. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field/work experience. This is a 2-year Project Hire position without any guarantee of permanent placement located on-site in Orlando, FL.
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Experience with working on projects with distributed teams (on-site and remote) This role is a part of the Retail & Restaurant Commerce Technology organization within Disney Experiences Technology & Digital.
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Adapt to a fast-paced environment, and you are comfortable dealing with ambiguity. Perform code reviews of peers and writes code in Disney Experiences Technology & Digital standard Java technology stack that meets development standards and passes quality checks.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. 5+ years of relevant experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
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Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; deploy and maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate. Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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software engineer ts sci machine jobs Title: cloud software engineer in Kekaha, Hawaii
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