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Work as a full stack engineer for both robot software as well as backend server side software development using AWS cloud. 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.
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Insurance: medical, dental, vision, life and pet insurance. The Parts Counter Person (Back) contributes to the success of the Parts Department by being involved and adding to our customer satisfaction.
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3-5 years of experience in structured software product management in life science industry. Founded and led by Dr. Matthew Hill and located in San Carlos, CA, Elegen is well-capitalized by top life science investors, including Andreessen Horowitz, 8VC, and KdT. The company is advised and staffed by leading biotechnology scientists and entrepreneurs, including Dr. Marc Unger, inventor of the Nanoflex valve, and former CSO of Fluidigm.
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Technical knowledge of spacecraft systems and operations (e.g., communications, orbital mechanics, avionics, propulsion, thermal control, and life support systems) You will leverage your cross-functional knowledge across spacecraft systems, control-theory, embedded software, and communication systems to ensure our satellites are flying in close formation.
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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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As an Embedded PL/FPGA Engineer at Xona, you'll play a key role in designing, implementing, and optimizing embedded systems that leverage the power and flexibility of programmable logic devices.
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Capable of executing software patching for Cisco Routers/Switches/NXOS/Wireless/ISE, Fortinet Firewall, Manager & Analyzer, Aruba ClearPass in a production environment, aiming for minimal or no downtime whenever feasible.
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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. Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest.
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The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users - from first responders to insurance claims adjusters, utilities, and more.
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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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CAE Engineer - Drive Systems. This is a hybrid role between a Mechanical Design Engineer and a CAE Analyst. Familiarity within 3D CAD software, preferably CATIA V5/6. We are looking for a Mechanical Design Engineer, CAE for our Drive Systems team.
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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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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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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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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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