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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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As a Research Scientist at Dessa, you will create novel deep learning systems with the capability to perform tasks that were once considered unattainable. We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities.
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Embedded Software Engineer I: Minimal experience developing embedded software for electrical, electronic, telematics, or controls systems required. Embedded Software Engineer II: 1 year experience minimum developing embedded software for electrical, electronic, telematics, or controls systems required.
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With experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.) NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies.
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A PhD degree in Machine Learning or Deep Learning is a massive plus. 5+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring.
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You and your team will help advance NVIDIA's leadership in applying deep learning to tackle real-world problem in Autonomous Vehicle (AV) domain and other such embedded opportunities.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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Candidates must be able to architect and design systems for sensor and image processing platforms, assigning subtasks to junior firmware (FPGA or embedded software) engineers. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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What You’ll Get to Do: As a CACI-SOAS Operations Research Systems Analyst(ORSA), you will provide operations analysis support to our government client and forward deployed units, with a focus on proliferation of Weapons of Mass Destructions (WMD), assessing the Great Power Competition (GPC), and countering improvised threats and the networks that finance, build, or employ such threats.
$99,800 - $219,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions.
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Digital Core is actively looking for an AI Machine Learning Engineer to spearhead our efforts in the development and deployment of machine learning models that enhance predictive analytics and decision-making across multiple processes and systems in pharma.
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The Senior Embedded Software Engineer is expected to take a system approach in the design and development of embedded software systems. Strong background in signal processing with emphases on real-time signal processing on embedded DSP processors and embedded Linux systems.
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Northrop Grumman Mission Systems sector is seeking a Digital Engineer, Embedded Software Engineer to join our diverse and talented Digital Technology team in the design, implementation, and integration of real-time embedded software & VHDL coding for our next generation Embedded GPS/Inertial Navigation System.
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We are seeking a skilled and innovative Machine Learning Engineer to join our team. Proven experience as a Machine Learning Engineer or in a similar role. Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.
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In this role, you will lead product definition, working closely with an embedded software team and closely collaborating with hardware engineering, systems engineering, and assay development.
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deep learning embedded systems jobs Title: machine learning engineer Company: Apple
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