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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. 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 a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Design and build Machine Learning for capacity planning, demand forecasting, software performance analysis, and software system tuning. Develop Machine Learning models in the areas of Networking, Application, and Data. Design, write, and build software tools to improve the reliability, latency, availability, and scalability of Walmart eCommerce products.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. Proficiency in programming computational and statistical algorithms for large data sets.
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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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BS, MS, or Ph. D. in Robotics, Machine Learning, Applied Mathematics, Computer Science or a related field. Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora’s mission, continually up-leveling our team along the way.
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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.
$221,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Experience in area of data science (e.g., machine learning, deep learning, NLP) Hands on experience with anyone programming languages like Python, R, etc. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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Proficient in Python programming and deep learning platforms like Pytorch. Strong research background in AI and machine learning with solid publications in leading conferences (e.g., ICML, NeurIPS, ICLR) and journals, encompassing areas like large language models, diffusion models, geometric deep learning, natural language processing, computational protein design, protein structure and conformation prediction, and related fields.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Senior and Staff Machine Learning Engineers to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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With over 10 billion cumulative shipments of SoCs embedded with our CPU IP, our products cover audio, Bluetooth, gaming, GPS, machine learning, MCU, and more. Strong mastery using Unix and scripting languages such as make, shell, perl or python.
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Strong comprehension of HDL programming languages such as VHDL, Verilog or SystemVerilog. Experience with software languages used to interface to FPGA applications (Matlab, Python, C). At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions — whatever and wherever they may be.
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