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Requires (near/far/depth/color) vision to operate pipe threading machine, pipe bender, Oakey beveler; to fit, weld, layout pipe; to read tape measure. Stands to operate pipe threading machine, pipe bender, Oakey beveler; to fit, weld, layout pipe.
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Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Read on(Applicants MUST be US Citizens, hold a green card or H1B Visa to be considered)My client is looking for an experienced Machine Learning Engineer strong with ML Fundamentals with expertise in training, fine tuning and improving leading edge deep learning models.
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In past lives—we were founding engineers on the Amazon Prime Air team, led autonomy and simulation initiatives at Amazon Robotics, and implemented machine learning solutions from AWS into numerous Fortune 500 companies.
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BlackSky is looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky's cutting edge AI/ML Platform.
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We’re adding a Staff Machine Learning (ML) Engineer to our team to help us build and scale our core product lines. As our first full time ML Engineer, you'll have an opportunity not only to identify key leverage points for our machine learning implementations, but also to set the standard for Grid's statistical inference and machine learning practice.
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Proficiency in Python/R for data manipulation, statistical analysis, and machine learning. Solid understanding of machine learning techniques such as regression, classification, clustering, and time series forecasting.
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We are seeking individuals passionate in areas such as generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
$7,650 - $11,333 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Metropolis is seeking a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.
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We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. Proficient in a variety of machine learning methodologies (e.g. supervised learning, regularization, Principal Component Analysis, etc.
$160,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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They will work closely with the Senior Policy and Internal Strategy Manager, the Learning and Development team, and Employee Services Division members to cultivate a workplace culture that is rooted in organizational health, equity, and belonging.
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The role requires proficiency in patent prosecution, with a preference for expertise in electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. You: We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join our Deep Learning Compiler Team. As a Manager III you be leading a team of experienced compiler engineers developing compiler optimization algorithms and deploying, at scale, a new compiler targeting AWS custom hardware.
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The RoleAs a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. A PhD degree in Machine Learning or Deep Learning is a massive plus.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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machine learning jobs Title: devops engineer Company: Twitter in Seattle, WA
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