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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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Machine Learning Software Platform Architect Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization.
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As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers.
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We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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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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Familiarity with recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
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Collaborate with cross-functional teams, including neuroscience, software engineering, hardware engineering, design, and product management, to ensure seamless integration of machine learning solutions into our products.
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Developing machine learning models in TensorFlow. Our software tools span the full breadth of semiconductor and electrical systems solutions including integrated circuit design and verification, PCB design & manufacturing solutions, cable harness design tools, and embedded software.
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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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Job Description Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video.
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Areas of software development include quantum machine learning, quantum simulations, quantum optimization, quantum software architecture, compilers, noise mitigation techniques, cloud-native development, cloud microservices, and cloud APIs (among other areas.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
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machine learning software end jobs Company: Amazon Web Services Aws in Milpitas, CA
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