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Familiar with machine learning and deep learning frameworks, like TensorFlow, Pytorch, JAX. As a member of PI Lab, you will have the opportunities to research advanced privacy technology and theory together with worldwide influential researchers, and to tackle the critical industrial challenges on privacy innovation serving billions of TikTok users by applying cutting-edge technology.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for an Engineering Manager working on generative AI models for image synthesis to help us build the next generation of creative tools.
$148,600 - $298,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leveraging state of the art machine learning/econometrics techniques together with PayPal's huge proprietary database you will predict and quantify account-level credit risk which will drive PayPal's credit-related loss reserves.
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This role requires a blend of expertise in cloud computing, backend development, and machine learning technologies to support Zscaler's cutting-edge cloud-native platform. Proficiency in programming languages such as Python, Java, or Node.js, and experience with machine learning frameworks like PyTorch and TensorFlow.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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The APL (Advanced Processor Lab) is one of the research labs of SAIT (Samsung Advanced Institute of Technology) which is Samsung‘s R&D hub, established as the incubator for cutting-edge technologies.
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Experience in at least one of the following fields machine learning / computational biology / computational chemistry / molecular dynamics. The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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Our Total System Solutions portfolio empowers innovation within major market megatrends, including 5G, IoT/Edge, ADAS/Autonomous Driving, Computing, Data Centers, EVs, and AI/Machine Learning.
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Machine translation, including optimizing translation quality in dozens of scenarios and language pairs in the e-commerce scenarios, as well as the research of related cutting-edge technologies.
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Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. Metrics driven with proficiency in identifying, defining, tracking and acting upon metrics Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring.
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Excellent written and verbal communications skills; ability to translate strategy into clear and actionable plans for product development, engineering, design and marketing. Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
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Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
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As a Principal Product Manager at AiDash, you will work with the latest machine learning and data science techniques, combining product and design thinking to empower users to unlock critical value for themselves.
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The job requires an understanding of the signal processing, Fourier optics, optical physics, modern optimization and machine learning algorithms, and C. Experience in scientific simulation, numerical methods, image processing, optimization, computational geometry, machine learning, data sciences is a good plus.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the TechEdSat , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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machine learning cutting edge jobs Title: engineering in San Jose, Not-specified, Not Specified
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