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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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Firmware Validation Engineer (eInfochips) page is loaded. eInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients.
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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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Experience with implementing artificial intelligence (AI) and machine learning in transportation. Experience with using professional tools (e.g., Roadrunner) to develop digital twin and 3D simulation scenes for autonomous driving and sensor simulation tools by.
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We are seeking a dedicated Transportation Engineer/Modeler for Cooperative Driving Automation (CDA) and Digital Twin to join our McLean, Virginia group. 1+ years of hands-on experience in professional or academic setting with cooperative autonomous driving and sensor simulation tools, (e.g., CARLA, LGSVL, CARMAKER, or similar.
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Perform cross-disciplinary CDA and Vehicle-to-Everything (V2X) simulations, including automated driving simulation, vehicle dynamics simulation, V2X communication simulation, and sensor simulation.
$65,000 - $117,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Receptive to professional growth and learning. Conduct research on a variety of transportation engineering projects, which encompass traffic simulation, CDA, Digital Twin, V2X, CV, safety, and Intelligent Transportation Systems (ITS.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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sensor engineer machine learning jobs Company: Aurora Innovation in Washington, DC
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