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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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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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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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5+ years shipping machine learning products (leveling to senior software engineer or Principal Software Engineer will be based on experience) As a Senior / Principal Machine Learning Engineer with the Creator Services Natural Language Processing Team, you will build NLP, speech and generative AI models and products and bring the latest machine learning technology to our creators and help them create experiences at scale.
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Familiarity with customer success tools like Gainsight and Salesforce as well as other enablement platforms (Gong & Seismic) You will be the dedicated Enablement business partner to our Customer Success organization, working alongside senior leadership to fully understand the structure, needs, and goals of the organization.
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The successful candidate will be an integral part of enabling targeting of lipid-nanoparticles in support of ReCode's next generation in vivo delivery platform. Desire to work in a fast-paced environment and contribute to developing the next generation of lipid nanoparticles.
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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Immediately hiring for a Sr Manager of Medical Imaging Services & Customer Success Position type: Full-time Perm Role Location: Redwood City, CA As a Sr Manager of Medical Imaging Services & Customer Success you will: Someone who has been in the field integrating imaging into the hospital systems.
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We recently announced our next-generation aircraft, the Helix, planned for general release and scalable production in January 2024. Detailed knowledge of mechanical design, surfacing, simplification, and data management within CAD software, preferablywith CATIA V5/V6 in 3DX platform.
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You are an individual with a deep understanding of computational genomics, bioinformatics, machine learning, statistics, next-generation sequencing, and single-cell multi-omics.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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Developing and conducting experiments for measuring gene expression in single cells (e.g. 10X Genomics or BD RhapsodyTM assay using Illumina Next Generation Sequencing technology.) Developing and conducting experiments for measuring gene expression in single cells (e.g. 10X Genomics or BD RhapsodyTM assay using Illumina Next Generation Sequencing technology.
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The Team: This role will support go-to-market strategies across the full Commercial team (including Marketing, Employer and Health Plan Sales, Partnerships, and others) and Customer Success and will report to the Director of Digital Marketing.
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Experience in learning design (e.g. Bloom taxonomy) and measurement (e.g. Kirkpatrick framework), enablement tooling (Learning management, content management, and Articulate/RISE), gamification, and program management across multiple stakeholders (i.e. "master herder of cats.
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Design, execute, and own analyses of large, complex genomics datasets using Artificial Intelligence, machine learning, and statistical methods to generate biological insights. Interact cross functionally and work closely with teams include stem cell biologists, chemists, structural biologists, software engineering, clinical, laboratory operations, research, and product development.
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