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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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RESPONSIBILITIES Pioneer machine learning research at the cutting edge of research and development to create active learning systems for biologics engineering? JOB DESCRIPTION We are seeking an experienced, creative, and collaborative scientist with expertise in machine-learning based protein design.
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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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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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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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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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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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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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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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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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Join a globally known consumer device company as an Android Software QA Engineer working with Knox to ensure that confidential and sensitive data stays safe, no matter where your life takes you.
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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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Experience with project management software such as Prolog, Procore, E-Builder, Bluebeam, JDE, Smartsheet, Microsoft Project, and Primavera Project Planner (P6). POSITION SUMMARY: The Cost Engineer will work within the Project Cost Management Team, reporting directly to the Project Cost Manager.
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Understand the basics of the machine learning lifecycle and can build solutions to enable data scientists to iterate on machine learning applications and ultimately deploy them at scale in productions.
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Highest Satisfaction ProductsFor more information, visit Specialties:Accounts Payable Software, Invoice Communications, Invoice Processing, AP Automation Software, Customer Success, B2B Payments, ACH Payments, Check Payments, and Corporate Credit Cards.
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machine learning software engineer next life insurance success jobs in Menlo Park, CA
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