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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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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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Developing machine-learning based models and solutions for image processing, image recognition in MXP. In the software research and development (R&D) team, you will be a key member to develop high quality software in C.
$200Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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We are seeking a strong candidate for the Machine Learning software architect position who can lead the software ecosystem activities for IFX's in-Memory Compute solution. The ATV portfolio integrates sensors, microcontrollers, high-performance memories for specific applications, power semiconductors based on silicon and silicon carbide, as well as components for human-machine interaction and vehicle connectivity.
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We are doing world-class work in machine learning, computer vision, natural language processing, speech and audio, and knowledge, and transferring our work into products, which hundreds of millions of users worldwide use.
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Responsibilities- Design and development of core database system functionalities and related tools- Design, build, and maintain internal global cloud infrastructure, and solve unique, large-scale, highly complex cloud infrastructure problems- Work on platform software based on open-source container runtimes and Kubernetes technologies.
$145,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency with finite element analysis (FEA) software, e.g. ANSYS, for structural and/or thermal analysis. Strong proficiency in creating 3D CAD in Solidworks and managing data in PDM (Product Data Management) software or equivalent (ie Siemens NX and Teamcenter.
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Job Segment: Cloud, Embedded, Data Center, Software Engineer, Engineer, Technology, Engineering. Write and publish switch software promotional materials and white papers. Experience with SONiC switch software is highly preferable.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Detailed knowledge of software tools needed for successful power electronics system design (LTSpice, Altium Designer, Cadence/Orcad, Simplis/Simetrix) Empower Semiconductor has an immediate career opportunity for an experienced Power Applications Engineer to join our customer focused technical support team.
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The team consists of strong Machine Learning Researchers and Engineers, contributing cutting-edge research and implementation of TikTok product evolution. - Lead and grow a team of researchers focused on AI/ML technologies, exploring novel machine learning models and algorithms.
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Strong proficiency in independently developing and delivering hardware products as the responsible mechanical design engineer from cradle to grave. Staff Engineer: $183,000 USD - $220,000 USD.
$156,000 - $245,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About the role As a senior member of Recogni's software team, you will be responsible for implementing the software that runs inside a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company's flagship perception module product for autonomous driving applications.
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Strong knowledge of software development fundamentals, including relevant background in computer science fundamentals, distributed systems, data storage, and agile development methodologies. Experience working with AWS (Lambda, RDS, Redshift, Bedrock) or GCP (DataFlow, BigQuery, Vertex AI.
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