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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The ideal candidate will have extensive experience in deep learning and NLP, specifically with advanced models such as GPT-3, BERT, Transformer architectures, and Retrieval-Augmented Generation (RAG) models.
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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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Typical projects include deep learning classification / segmentation, data analytics using Python, Augmented and Virtual Reality application development, game design in Unity and Unreal Engine, experimenting with new IoT devices and design of algorithms suitable for next generation computers (e.g. quantum, neuromorphic, optical.
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Company Overview We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide.
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Experience with reality capture tools and practices (laser scanning, drone data capture, and/or point cloud generation). Support on-site construction team efforts in the implementation of VDC/Digital Delivery applications and practices such as Augmented Reality and Virtual Reality.
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Hands-on experience in the use of Autodesk-based Building Information Modeling (BIM) toolsets and work practices, including a minimum of 5 years of or professional level application experience with Revit, Plant3D, Navisworks, or similar process pipe modeling software.
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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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Next Generation Spectacles are our first pair of glasses that bring augmented reality to life. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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The improvements will support US Government position and timing service resiliency as well as enable next-generation commercial applications like drone delivery, self-driving cars, urban air mobility, and augmented reality.
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Emerging Technologies : Familiarity with the latest eLearning technologies, including AI-driven learning tools, virtual reality (VR), and augmented reality (AR) to enhance interactive learning experiences.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Experience with design development from schematic capture, PCB layout through assemblyFamiliarity with the emerging Augmented Reality and Virtual Reality technologies. Job descriptionWe are seeking an Electrical Engineer who has a passion for working across disciplines to turn early cutting-edge concepts and technologies into reality.
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You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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