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We are seeking a Senior Front-End SoC/ASIC Design Engineer for our SoC business unit. Skills Strongly Desired - SoC Architecture experience Experience and domain-knowledge in at least 2-3 of these: CPU (preferably, ARM and/or RISC-V), or GPU, or DSP; SoC Memory hierarchy; NoC/Fabric; low-power design and verification; high-speed peripheral interfaces such as CSI, HDMI/DP, I3C, USB, PCIe; Machine-learning / AI; FPGA.
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Our work spans hardware, software, and machine learning technology. Knowledge of applying machine learning to ASIC verification flow. Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Minimum of 4 years experience as a Product Manager, Engineer, or Designer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment, with an emphasis on user experience.
$156,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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Software Engineer, Computer Vision/Deep Learning. Experience applying machine learning techniques to build multi-modal multi-task sensor fusion architectures solving autonomous driving problems for our perception stack including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.
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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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As a senior machine learning engineer at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use.
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Software Engineer - Communications Suite. Software Engineer - Fullstack. DSP Engineer (Radar) Array Labs is building a distributed radar imaging constellation to power the first accurate, real-time 3D map of the world.
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). Understanding of advanced Machine Learning development, with the ability to work full-stack from API design to programming languages, runtimes, compilers, and advanced hardware.
$189,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience driving one or more stages of a machine learning problem-solving lifecycle, such as experiment setup, dataset curation, model training, offline evaluation and error analysis, deployment, and online evaluation.
$200,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We are looking for a Full Stack Engineer who is passionate about solving complex, meaningful problems to join our Core User Retention Team. Working closely with our brilliant product managers, software engineers, data scientists, designers, and operations teams, you will play a key role in improving customer retention for our core insurance shopping product and help make car ownership an effortless experience.
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We’re hiring a Machine Learning Engineer to join our team and help us reimagine life insurance. The ideal candidate will have a deep understanding of machine learning algorithms and techniques, as well as experience in software development and data engineering.
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Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation or any field.
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machine learning software engineer front end jobs Company: Amazon Web Services Aws in Stanford, CA
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