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Machine Learning SoC Engineer, Architecture and System Integration. Experience developing architectures for Machine Learning Accelerators. Experience writing/debugging verilog/RTL code for ASIC/FPGA designs and waveform debug skills.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. - exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
$173,000 - $221,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More Full Time Jobs Founding Data Scientist/ Machine Learning Engineer San Francisco. Associate Director/Associate Principal Scientist, Biology San Francisco. Cheminformatics Senior Scientist, ADME San Francisco.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
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Machine Learning Engineer – Data Science. Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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You will need both deep expertise in mixed-signal and analog design and breadth across other engineering disciplines, such as photonics and digital electronics, semiconductor device physics, thermal/packaging, and machine learning.
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Research experience in machine learning, deep learning, computer vision and/or natural language processing. Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the University of Michigan, we work with some of the largest payers, employers and providers in the U.S. to improve outcomes, costs, access, and equity for their members.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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7+ years of experience of Machine Learning experience, with at least three years focused on NLP and ASR.Proven record of an end-to-end workflow of moving at least three models to an enterprise production system.
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postdoc machine learning jobs in Stanford, CA
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