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Machine Learning Engineer, Platform page is loaded Machine Learning Engineer, Platform Apply remote type Hybrid locations 645 Clyde Avenue, Mountain View, CA, USA time type Full time posted on Posted 15 Days Ago job requisition id R90913 Position Summary.
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Machine Learning Engineer, Platform page is loaded. Machine Learning Engineer, Platform. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact.
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As a Senior Data Scientist / LLM Engineer at Qventus, you will have the opportunity to explore Qventus’ unique and rich healthcare dataset to develop cutting-edge solutions that leverage a wide range of machine learning, statistical, and other mathematical optimizations.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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We are currently seeking a perception machine learning algorithm engineer for our ADAS/Autonomous Driving. machine learning models which will push the state of the art in perception algorithms.
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Lead research topics through multiple phases related to automotive machine learning solutions: experimentation and validation, proof of concept, tuning and constraint adjustment. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional "digital twin" — a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving.
$122,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Collaborate with machine learning engineers and other partners to understand their requirements and provide infrastructure support for their experiments and projects. Prior experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch) and distributed training algorithms.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks NLU (natural language understanding) and agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks generative and conversational AI capabilities platform-wide.
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The team is responsible for designing, building, and operating the data pipeline infrastructure, which includes the entire flow of data from neurophysiological data acquisition to storage, processing, and preparation for large-scale training of machine learning-based foundation models.
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We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading.
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We are seeking an Embedded DSP Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision (CV), machine learning (ML), and imaging (ISP), Audio, Graphics and Display, through efficient implementation of algorithms on custom DSPs, and HW/SW partitioning and co-design of complex embedded algorithms into custom DSP + HW accelerators.
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8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company. Own the design and implementation of our Machine Learning infrastructure.
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The Federal Aviation Administration (FAA) NextGen Project Is Working With NASA Ames To Explore Using Modern Data Analytics And Machine Learning (ML) Technologies In Enabling An Info-centric Digital National Airspace System (NAS.
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big machine learning solutions engineer jobs Title: machine learning engineer infrastructure in Palo Alto, CA
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