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As a Principal Engineer, you will have the incredible opportunity to be at the forefront of artificial intelligence, machine learning, and deep learning research and development.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Understand the basic principles of deep learning algorithms, be familiar with the basic architecture of neural networks and understand deep learning training frameworks such as Pytorch and TensorFlow.
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Sales Territory or Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
$199,700 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Lead Data Engineer should possess a breadth of knowledge, technical skills, and strategic thinking to build a Data Warehouse to answer important questions across a variety of functional areas and collaborate with business stakeholders and IT management to understand solution requirements and system design for delivering the data model, developing and implementing the solution to deliver the desired business outcomes.
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The Automation Engineer I/II/III classifications perform programming and related work in the design, installation, configuration, operation, and maintenance of the San José-Santa Clara Regional Wastewater Facility distributed control, network and data historian systems used for control and/or study of municipal wastewater processes.
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Working closely with customers, OEM and Tier1 companies, the successful candidate will understand the market dynamics of ADAS and autonomous driving systems and distill the product requirements for our SoC and platform solution as well as anticipate on the industry trends and technology.
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Description We are seeking an experienced and highly skilled Sr Data Engineer to join us. Experience with machine learning algorithms and data modeling techniques. Manage and optimize data pipelines, ensuring timely and accurate data availability for analytics and machine learning applications.
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We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
$196,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning/Neural Networks, Reinforcement Learning, or related. and experience with machine learning frameworks and tools with preferable experience in big data processing, e.g. Hadoop, SQL, Spark.
$135,200 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong proficiency in creating 3D CAD in Solidworks and managing data in PDM (Product Data Management) software or equivalent (ie Siemens NX and Teamcenter) Strong proficiency in independently developing and delivering hardware products as the responsible mechanical design engineer from cradle to grave.
$156,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cisco Silicon One (#CiscoSiliconOne) is the only unifying silicon architecture in the market that enables customers to deploy the best-of-breed silicon from Top of Rack (TOR) switches all the way through web scale data centers and across service provider, enterprise networks, and data centers with a fully unified routing and switching portfolio.
$144,800 - $214,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Aerospace Engineer III (IC) Prepare test data and perform testing, based on business requirements, technical specifications and/or product knowledge. eInfochips has strategic technology partnerships with Qualcomm, NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few.
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The Pre-Sales Engineer will interact directly with our customers' sales, engineering, and others to lead technical discussions about Planar's display systems to arrive at an optimal solution. Additionally, the Pre-Sales Engineer will be responsible for providing feedback and following up on technical issues with the Product Management team.
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Today, the firm employs more than 1,100 people in 3 regional offices, and its clients represent a diverse range of market sectors, including Biopharmaceutical, Education, Healthcare, Food & Beverage, Commercial, Industrial and Data Center facilities.
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