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If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology.
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Applies wax to auto body and wipes or buffs surfaces to protect surfaces and preserve shine, using a cloth or buffing machine. Swickard has positioned itself as a leader in the automotive industry working with brands like Mercedes Benz, Toyota, Lexus, Porsche, Audi, Honda, GMC, and Jaguar-Land Rover among others.
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This role will contribute to the development and application of Arc’s frontier DNA foundation model ( Evo ), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis. Completed coursework in geophysics, linear algebra, signal processing, machine learning, or their equivalent.
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As a Principal Scientist, you will play a critical role in driving end-to-end innovation, cost optimization, and data-driven automation for the entire Walmart's transportation system using cutting-edge technologies like multi-agent systems , deep reinforcement learning , and machine learning.
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Members of the SSRL-ESD are responsible for establishing performance criteria, evaluating potential system designs, and implementing/supporting machine protection systems (MPS), personnel protection systems (PPS), beam containment systems (BCS), computing and networking infrastructures, beamlines data acquisition, and motion control systems while ensuring designs and installations are properly documented.
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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. The Path Forward Return to Work program at Zoox is a 16-week paid returnship for experienced professionals returning to the workforce after taking time off for caregiving.
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We’re hiring a Machine Learning Engineer to join our team and help us reimagine life insurance. The ideal candidate will have a deep understanding of machine learning algorithms and techniques, as well as experience in software development and data engineering.
$167,640 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You will have the opportunity to - build enterprise products that solve real world problems by leveraging our machine learning platform, build the foundational frameworks and services which abstract away the product needs and provide scalable and reliable building blocks, build the enterprise data platform for various product needs.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors. We are seeking an Embedded CV Software Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision, machine learning, and imaging, through mapping and optimization of a complex embedded C.
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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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Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. Experience developing machine learning solutions for Autonomous Vehicles.
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Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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machine job Title: electrical in Menlo Park, CA
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