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KEY RESPONSIBILITIES: The ideal candidate will be responsible for architecting and supporting for AMD’s Machine Learning and Deep Learning Library: MIOpen ( The candidate should have experince with deep learning training and inference workloads optimization on massive parallel hardware and software platforms.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. Proficiency in code and system health, diagnosis and resolution, and software test engineering.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldExpertise in applied ML for Search/NLP/IR/Product Knowledge Graph - both classical and deep learning based.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the industry.
$247,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide onsite support to solve problems in hardware and software, and deep learning inference. NVIDIA's deep learning platforms have already made a major impact on the field and is broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies.
$247,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience using massively parallel simulation in order to train deep learning models. As a software engineer in simulation, you will be responsible for modeling the robot and the world in simulation, as well as building the tooling to enable full digital twin development and testing, not just for our internal teams but for our partners as well.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong background in Generative AI, Deep Learning, Machine Learning, Probability, and Statistics. Expert-level proficiency in Python and/or Go, with a deep understanding of deep learning techniques and their deployment in large-scale production environments with accelerators (e.g., GPUs.
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More recently, GPU deep learning ignited modern AI — the next era of computing. As a software engineer you will craft and implement APIs and services to support the execution of workflows to validate the design of NVIDIA's chips.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This senior role demands a deep understanding of both machine learning algorithms and hardware engineering principles, especially as they relate to sensor technology and digital signal processing.
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Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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As an SDE ML Apps Engineer, you will work alongside Research Engineers and Applied Scientists to build backend science components, including deep learning models that power our platform.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief-Architect position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
$314,200 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Collaborate with design and operations teams: Mechanical, Signal Integrity, Layout, Software and Testing (JTAG and FT), Manufacturing Engineering and Test Engineering. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.
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