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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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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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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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Production Engineer is responsible for facilitate improvement projects and Kaizen (Rapid Continuous Improvement) events to eliminate waste and increase efficiencies in various functional areas of the manufacturing processes (manufacturing processes, yield improvements and cycle time improvements.
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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.
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We are currently seeking a Mixed Signal Verification Engineer for our client in the IT-Services domain. Role Description: The Mixed Signal Verification Engineer must have at least 5+ years of experience.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
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Has deep knowledge of one or more of the following domains: Embedded CPU subsystem and architecture; High-speed digital signal processing, computer vision, or machine learning; High-performance serial interface protocols; Low-power design methodology; mixed-signal design; FPGA prototyping.
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1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, with a focus on NLP or machine learning.
$135,200 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you’re looking for a place that helps you do the best work of your career, look no further than BILL.This position is based in San Jose, CA Make Your Impact Within a Rapidly Growing Fintech Company Our team’s mission is to build a world-class platform for data analytics and machine learning to fuel existing and new business critical initiatives.
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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.
$234,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for an AWS Architect/Engineer who will be responsible for designing, implementing, monitoring, and administrating the on-premises migration and cloud infrastructure. We are currently seeking an AWS Architect/Engineer to join our San Jose, CA Location.
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Job Segment: Cloud, Manager, Data Center, Engineer, Technology, Management, Engineering. 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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Javascript, WebDevelopment FrameWorks like Reach, Svelte , Jenkins / Spinnaker, Artifactory, RESTful APIs, Elasticsearch, building machine learning systems is a plus. Work with technology and product teams to develop analysis tools and machine learning models.
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Bachelors in Electrical/Computer Engineer with 10 years of relevant industry experience, or Masters in Electrical/Computer Engineer with 8 years or PhD in Electrical/Computer Engineer with 5 years in processor and SOC development or related field preferred.
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engineer machine learning jobs Title: ct technologist in San Jose, Fernley, Nevada
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