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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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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.
InternExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
$385,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experienced in FPGA design or front-end IC design. The Sr. FPGA Engineer will innovate, develop, and support surgical robotic devices and accessories for the da Vinci Surgical System, from concept to launch and beyond.
$285,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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On the software only side, our edge AI processing algorithms can replace the front end of a traditional camera ISP pipeline to correct the optical defects of lenses, perform joint demosaicing, deconvolution, denoising, and super-resolution, and run on a phone’s GPU, Neural Engine or similar, to give ultra-detailed high fidelity images in near-real-time.
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Within the team, the student will work with Senior Software Engineers, Senior Software Engineering Manager, Senior Machine Learning Researchers, Senior Production Managers and potentially Data Engineers.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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A minimum of 15 years of management experience, working in Front End wafer Fab management positions and has had at least 10 years of experience in a Front End Factory or has experience in management of Front End managing engineers, maintenance, equipment engineering, process engineering, and operators.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Senior Software Test Development Engineer - Deep Learning We are looking for a Software Test development engineer in NVIDIA’s Deep Learning SWQA team. The position is in NVIDIA Deep Learning and AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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ROLE – Machine Learning Engineer. MAIN SKILLS – Experience working in an AWS Cloud environment, Proficiency in Python, Strong experience in ML frameworks and libraries such as PyTorch or TensorFlow, Experience with FEA software (e.g., Abaqus) and scripting, including element technologies and material models, Solid understanding of deep learning architectures such as CNN, RNN, and transformers, Hands-on experience with large-scale data processing and analysis.
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Apply model optimization, efficient deep learning techniques and ML software improvements. We are looking for a staff engineer with model optimization expertise to help us improve compute performance on our car.
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Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to enable GenAI across our Applications & Platforms. Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications.
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machine learning software engineer front end jobs Company: Amazon Web Services Aws in Santa Clara, CA
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