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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. Work as a full stack engineer for both robot software as well as backend server side software development using AWS cloud.
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This role provides the opportunity to leverage large-scale proprietary datasets and work with subject matter experts on cross-functional teams to solve challenging problems in how we discover and engineer the next generation of biotherapeutics.
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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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This empowers operations teams for the first time to precisely and directly impact real-world business outcomes, including customer satisfaction and revenue. You will delve into a diverse array of ML technologies to drive innovative customer experiences.
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You have prior experience as a machine learning modeler/scientist/engineer and are familiar with the workflow and motivations of machine learning modelers and engineers.
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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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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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Ultimately, the Customer Success Manager will play a critical role in ensuring Dexterity's customers are successful in their use of robotics, helping to transform the world through breakthrough technology.
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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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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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The Parts Counter Person (Back) contributes to the success of the Parts Department by being involved and adding to our customer satisfaction. Insurance: medical, dental, vision, life and pet insurance.
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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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Ability to spin up quickly on topics in Precision Medicine, Next Generation Genomic Sequencing, wet lab workflows, and Bioinformatics. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Software Engineer (Machine Learning); UX Researcher; Software Engineer. Meta Platforms, Inc. (f/k/a Facebook, Inc.) is hiring Software Engineer (Machine Learning) to Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
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machine learning software engineer next generation life customer success jobs in Redwood City, CA
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