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Work as part of a cross-functional engineering team with Scientists, Mechanical and Software Engineers, and Test Engineers to develop next-generation X-ray based security equipment. The Security Enterprise Solutions (SES) operation at Leidos currently has an opening for an Electrical Engineer to work for the Ports and Borders (P&B) business unit in our Vista, CA facility.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll be partnering with product management, user experience, customer success, machine learning and other engineering teams to identify, define and build elegant solutions. 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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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
$175,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Master's, or Ph. D. degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, Statistics, Physics, Mathematics, or a related field. Stay current with the latest advancements in image processing, computer vision, and machine learning technologies, and apply cutting-edge techniques to solve challenges in NGS.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
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Excited about working with fintech, blockchain, machine learning, and data science products. Integrate machine learning models (both real time and offline) to our systems for ever evolving intelligence on possible bad behavior.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Serve as a technical specialist and consultant to the electrical engineering discipline on transportation-related projects. Minimum 5 years of experience in the field of Electrical Engineering with preference given to transportation experience.
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The experienced electrical engineer applies engineering knowledge, practice and techniques to solve applied and operational problems with facility electrical systems (including switchgear, MCC equipment, motors, motor controls, variable frequency drives, communications, fire alarm systems and HVAC control systems used for research applications), and in R&D for Nuclear Programs, National and Homeland Security, and Energy and Environment.
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Senior Machine Learning Engineer page is loaded. Senior Machine Learning Engineer. As an ML Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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Our team is seeking a senior software engineer who will be a core team member for our advertising targeting & decisioning engineering group. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
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Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports datasets and predictions with high accuracy and low latency.
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electrical engineering machine learning software engineer jobs Company: Apple
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