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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. 7+ years of software and machine learning engineering experience in an industrial or applied research environment.
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Familiarity with containers, numeric libraries, modular software designGood knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.
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Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. 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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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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Browse *Upload from Google DriveUpload from DropboxUpload from your device *Data Processing AgreementxI AgreeCancelData Processing AgreementxI AgreeCancelxxxApplication for job # 23-00099, Front End Developer - Remote Opportunity.
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We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Golang, Python;•Experience contributing to the large scale systems, multi-tenant systems (architecture, reliability and scaling);•Experience contributing to GPU architecture, GPU cluster;•Familiar with Kubernetes / Kubeflow / YARN / Mesos orchestrations;•Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other);•Familiar with the front-end and back-end technologies, such as Django / Flask / NodeJS / React, etc.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Responsibilities Play a critical role in setting the direction and goals for one of our ML teams in terms of project impact, ML system design and ML excellence Be a go-to person for the most complex production performance and evaluation issues requiring an in-depth knowledge of how the machine learning system interacts with systems around it Lead and review technical designs for projects within your team, actively contributing to team-level strategies setting clear, achievable engineering goals.
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The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Conduct end-to-end evaluation and testing of microcontroller-based controllers and associated software, integrating with UPS Inverter hardware. Our client, a front-runner in developing UPS systems and battery backup power solutions, is looking to hire a Senior Electrical Engineer.
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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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Convert research-based machine learning models into production-ready software. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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As a Machine Learning Engineer, youll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience. As a Machine Learning Engineer, youll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale.
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machine learning software front end jobs Company: Amazon Web Services Aws
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