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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.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from LLM, image classification to speech recognition to natural language processing.
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field.
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Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem.
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Experience in machine learning, deep learning/LLM, information retrieval, natural language processing. The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing.
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Required Technical Skills: Deep knowledge of AI principles, including natural language processing (NLP), computer vision, and reinforcement learning. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$189,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apple Silicon Engineering is seeking Hardware-minded Software engineers to build innovative tools to design the next generation of Apples world-leading systems-on-chip (SOCs) Apples multi-billion-transistor Ax SOCs are the brain of every iPhone and iPad. The Analog Mixed-Signal (AMS) circuits connect them to the physical world via complex IPs such as SERDES for data communication, PLLs for clock generation, and sensors for measuring physical quantities.
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Strong deep learning, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement Learning.
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Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing. One or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow.
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Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation or any field. HP Labs Senior Machine Learning Research Scientist.
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Drive engagement with key OEMs in providing RF systems architecture expertise to validate requirements and support phone set development with S.LSI next generation LTE/NR cellular chipset.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
$87,400 - $148,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Next-Generation SOC FortiASIC will further surpass performance of current generation and continue demonstrating Fortinet's leadership with unparalleled data processing power and integrated security features.
$190,000 - $260,000 a year depends on experience (equity, bonuses)Full-timeExpandApply NowActive JobUpdated Yesterday
learning natural language processing next generation jobs Title: engineer Company: Quantum Technologies Usa in Sunnyvale, CA
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