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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step in solving problems.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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Experience with neural deep learning methods and machine learning. Machine learning (ML) has been strategic to Amazon from the early years. We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Members of the SSRL-ESD are responsible for establishing performance criteria, evaluating potential system designs, and implementing/supporting machine protection systems (MPS), personnel protection systems (PPS), beam containment systems (BCS), computing and networking infrastructures, beamlines data acquisition, and motion control systems while ensuring designs and installations are properly documented.
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This position will focus on two products to start with, CUDA for Embedded Businesses – AV, Robotics, Medical, etc., and NVIDIA Deep Learning Accelerator (NVDLA) for Embedded and further build NVIDIA Inferencing story.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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We're looking for an experienced Senior Software Engineer, Machine Learning to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems.
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Work closely with a diverse team comprised of electrical, mechanical, software, FPGA, reliability, and verification team members to drive the product from concept to manufacturing. Use the fundamental principles of high-speed circuit design, signal integrity analysis, EMC, electrical safety, and DFM to achieve solid designs.
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What You’ll get to Do:Collaboration and critical thinking to troubleshoot and determine cause of unique CNC equipment failures, malfunctions and repair, modify, install, and maintain electrical circuits, components and systems on machine tools, cranes, elevators, alarms, transformers, controls, and high voltage cables and equipment.
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The candidate will be part of the hardware development team, specifically supporting the product development phases (development, bring-up, electrical validation, FPGA coding, Python scripting, and customer support.
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Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow. Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow.
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electrical machine learning product jobs Company: Apple in Mountain View, CA
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