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PACCAR Embedded Engineering organization has an immediate opening for a Control Systems Engineer to join our Autonomous Vehicle Platform team in Lewisville TX , or Kirkland, WA. PACCAR’s Embedded Engineering department, which serves both Kenworth and Peterbilt, has an opening for a Control Systems Engineer.
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In-depth knowledge of electric vehicle technologies, battery systems, power electronics, high/low voltage electrics, embedded systems, and related engineering principles. Managing systems and subsystems such as battery systems, power electronic systems, thermal systems and required structural and interconnect systems.
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As a networked embedded systems engineer, you ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world s best quantum computers to solve the world s most complex problems.
$202,347 - $264,924 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our Opportunity:Chewy is looking for a Machine Learning Engineer III to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, advanced data analysis, statistical testing, and software development.
$146,500 - $234,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems.
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Are you a Research Engineer who is passionate about building algorithms and systems to advance Multi-horizon Demand Forecasting, Generative Sales Strategies, Generative Supply Planning, and Holistic Optimization to the next level.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Manages complex transit related systems engineering design for: network and radio communications, train control and signals, traction power and overhead catenaries, Supervisory Control and Data Acquisition (SCADA), and Fire Life Safety Systems.
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Strategic initiatives requiring immediate focus in this role include: implementing ERP (Financial and Construction Management) systems, develop and deploy Enterprise BI (Executive Dashboard), Integrate and develop CRM (Salesforce), implement ESG solutions, develop Ada Atlas, design and implement business processes (Order to Cash, Procure to Pay, Record to Report.
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We are looking for an ERP Systems Manager (Acumatica) who is ready to join our mission in creating a #CyberFit future! The ERP Systems Manager will be responsible for managing the corporate Acumatica ERP system, supporting its users, taking ownership of our Acumatica helpdesk, and continually improving the ERP system.
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Deep hands-on technical expertise in at least one major area: large scale full stack development, building complex distributed systems, fintech, or enterprise products. The successful candidate will manage technical projects and workstreams across our organization, deliver new capabilities to developer communities, and drive innovation by working with customers to develop greenfield solutions for Embedded Finance at FIS.
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Collaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systems. To help us innovate and build industry-leading AI models, we are seeking a highly motivated software engineer with a strong background in designing and implementing production-grade pipelines for machine learning models.
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Experience developing and testing real-time embedded systems with a focus on modular and extensible architectures. Perform data interpretation, assessment, and analysis of integrated electrical/avionics systems to drive continuous improvement and optimize system performance.
$150ExpandApply NowActive JobUpdated 4 days ago
learning embedded systems jobs Title: machine learning engineer in Seattle, WA
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