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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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The Opportunity 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.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing GPU hardware for parallel processing, high performance computing and ML on Linux based platforms while providing updates.
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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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Spectrum Search is partnering with an innovative online application that revolutionises insurance claims processing by integrating intelligent data, workflows enhanced with legal expertise, machine learning, and natural language processing.
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Demonstrate proficiency in at least one analytical tool (R, SAS, SQL, or Python), with additional experience in AI and ML techniques, including neural networks, deep learning, and natural language processing, considered a plus.
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Tasks may include basic assistance with field investigations (including sample collection, processing, and management), data evaluation, data reporting, and design (preliminary design calculations and analysis) of sediment, soil, and groundwater remediation systems.
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O Leader, coach, and mentor to R&D functions including assay development, software (development and test/QA), image analysis/machine learning, project management, systems engineering, systems integration, manufacturing and laboratory operations, and to develop the company’s focus on other forms of cancer.
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Key job responsibilitiesAs a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. The group seeks a summer intern to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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We are looking for a highly skilled ML Engineer to join our R&D team, working on cutting-edge projects involving Natural Language Processing (NLP), Large Language Models (LLM), Computer Vision, Voice Synthesis, and more.
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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