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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Use signal processing and machine learning techniques to extract and learn informative features and embeddings from wearable sensor data – both from data collected during prescribed behavioral tasks and during continuous and passive monitoring at home.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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A talented Machine Learning Research Engineer is required to join an exciting and innovative healthtech organization based in Boston. In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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As a Machine Learning Engineer II, your job is to ensure that our products deliver mind-blowing video and audio experiences. Work collaboratively with data scientists, machine learning engineers, and DSP engineers to create, execute, and execute test plans, both in simulation and as implemented on embedded products, to identify areas of improvement and validate expected functionality of video and audio signal processing, machine learning, and artificial intelligence.
$150Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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USG Secret security clearance in good standing, or US Citizenship and no known barriers to achieve a USG Secret security clearance [non-citizens are ineligible for clearance.
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Agility Partners is seeking a qualified Machine Learning Engineer to fill an open position with a Fortune 500 company based in the greater Connecticut area. As a Machine Learning Engineer, you will play a pivotal role in designing, building, and maintaining sophisticated machine learning models and pipelines.
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Eligible to acquire and maintain a security clearance, which is issued by the U.S. government. Experience relating to multiple cybersecurity fields such as applications security, defensive cyber operations, vulnerability analysis, cryptography, network security, embedded systems security, secure FPGA/ASIC design, reverse engineering, zero trust architectures, or malware analysis.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Here is what you can expect on a typical day in the life of a Data Security Engineer at ADP.
$75,600 - $202,590 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. As a Data Security Engineer, you will join a highly skilled and focused Global Security team, who provide excellent data protection services over the ADP Network platform and across ADP company assets.
$75,600 - $202,590 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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BIOVIA is looking for a motivated Machine Learning Engineer – Drug Discovery to join our Discovery Studio team in San Diego, CA, or Waltham, MA in an onsite/hybrid role. This role focuses on the development of Machine Learning and Artificial Intelligence techniques for BIOVIA’s life sciences modeling and simulation applications.
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