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Zachary Piper Solutions is seeking a Mid- level Cyber Engineer to support a defense contract. Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer. Collaborate with internal teams to find areas of opportunities for automation and machine learning.
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We experiment and innovate leveraging the latest technologies, engineer breakthrough customer experiences, and bring simplicity and humanity to banking. Sr. Director Software Engineering. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you.
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Remote (Regardless of Location): $117,400 - $134,000 for Machine Learning Engineer. As a Capital One Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.
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The Principal Machine Learning Engineer (PMLE) will serve as a key technical leader within US Foods’ Machine Learning Operations team and will help drive our advancements in AI and Generative AI. They will provide thought leadership across our Analytics & Data Science organization and work closely with ML Engineers, Data Scientists, and business leaders to design, develop, and deploy industry-leading AI solutions.
$210,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The AIML Platform team is seeking talented senior to principal-level engineers to join our team with a focus on building a machine learning platform to support Machine Learning Development Lifecycle.
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Seize your opportunity to make a personal impact as an AI and Machine Learning Engineer Advisor. As an AI and Machine Learning Engineer Advisor, you will help ensure today is safe and tomorrow is smarter.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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As an Artificial Intelligence (AI) and Machine Learning (ML) Engineer, you will process data and information at massive scale with machine learning technologies. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred.
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Experience with machine learning and neural network frameworks on GPUs in Linux. Leidos is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems.
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As a GPU Engineer, you will play a pivotal role in designing, developing, and optimizing GPUs for various applications, with a strong emphasis on seamless integration with operating systems and hardware.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc. Familiarity with CUDA and managing GPU-accelerated computing systems.
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machine engineer jobs in Arlington, VA
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