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AMD is looking for a skilled and experienced engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD Inference Accelerator AIE hardware devices.
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Design, develop, and implement scalable and efficient data engineering and machine learning systems. Craft advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow, particularly for generative media applications.
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Experience developing surgical visualization camera control systems, including interfacing with CMOS image sensors and LED/laser light sources, FPGA interfaces, and image signal processing for machine learning/artificial intelligence.
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What you’ll doCombining knowledge of several research domains to improve our understanding of different risks to Robinhood and help power decisionsDesigning new machine learning systems to power the fraud prevention and risk reduction efforts at Robinhood especially in product areasBuild production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques.
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In this role, you will lead complex projects that fuse machine learning, predictive analytics, and data analysis techniques to advance our diagnostic technologies. Strong knowledge of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques.
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You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics (bonus), and have some familiarity with the state of the art in ML for autonomous driving and data utilization (bonus.
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. Experience developing machine learning solutions for Autonomous Vehicles.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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We are currently looking for a Machine Learning Engineer - Speech Recognition, to help us build and improve our state-of-the-art streaming bilingual speech recognition system, using real-world data from our conversational AI Drive Thru product.
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Developing Deep Learning / Machine Learning methods for HDR tone mapping, image super resolution, image noise reduction, image classification, object recognition, sematic segmentation.
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Capable of conducting high-caliber machine learning research, yet adaptable to transitioning to tasks related to data infrastructure and operationalizing fleet learning infrastructure as required.
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Our AI/ML technology protects regular citizens from bad actors on the internet, using industry-leading deep learning, computer vision, natural language processing, and machine learning models for highly accurate real-time detection & automated takedown of fraudulent sites at the internet scale.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. - Data Scientist (Class of 2022.
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machine learning jobs Title: sr data scientist Company: Verizon in Sunnyvale, CA
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