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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
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It’s a new team at Conviva, and you will work alongside our robust ML Engineers and Software Engineers, playing a critical role in shaping the team culture. What Success Will Look Like: Being the leader.
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We're looking for experienced Machine Learning Engineers to help us build the next generation of professional legal research tools. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Lead the Migration of Entire Legacy Catalog Services to Cutting Edge next generation Reactive Microsystems using Akka-Http,Akka Streams, which are deployed in Kubernetes Ecosystem in Public Cloud like Google GCP and Microsoft Azure.
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We are seeking a software engineer who has a strong grasp of robotics, perception, SW, localization, and mapping and who wants to develop and ship production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
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As a software engineer, you’ll collaborate with an experienced technical team of other senior engineers, distributed systems computing experts, and security experts, who are all committed to building a world-changing decentralized infrastructure for MachineFi. You’ll develop and build highly scalable, secure, and reliable software that will change the way how machine networks and Web3 work together at a fundamental level.
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Implementing Cisco ASA Next-Generation Firewall (NGFW), as well as web security, email security, and cloud web security. Any experience of the following is useful too: Cisco Data Center Nexus, Cloud, Cisco ASA/PIX, Cisco Secure, ACS, Cisco ACI, Cisco IronPort, Checkpoint FW-1 and NG, Juniper Netscreen and SRX, Palo Alto, Bluecoat and Fortinet security hardware/software products.
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Design, develop, and maintain data infrastructure software using Python and Go (familiarity with GraphQL a plus)Implement and manage DevOps processes for Data Engineering toolsUse Docker and Kubernetes to build and deploy containerized applications.
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We are looking for a Principal System Architect to help us build the next generation of silicon photonics based artificial intelligence accelerators and interconnect products. As a Principal System Architect, you will be responsible for defining system solutions for the data center using Lightmatter’s innovative technology to create state of the art machine learning/artificial intelligence or massive scale-out interconnect platforms.
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Come work with a well-respected, creative and talented group of experts in graphics, animation, machine learning and mixed reality. DigitalFish has long been a trusted partner of leading digital media companies, and we are at the center of their efforts to build a new generation of platforms and experiences.
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The improvements will support US Government position and timing service resiliency as well as enable next-generation commercial applications like drone delivery, self-driving cars, urban air mobility, and augmented reality.
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Job Description As a Customer Success Engineer, you will be responsible for building and maintaining post-sales relationships and technical strategy with Dynatrace's strategic customers.
$100,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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