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6+ years of experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing. 5 years of experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.
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ADDIE, e-learning, Adobe Captivate, Articulate, Articulate Storyline, Camtasia, FinalCut, Confluence. 3+ years of demonstrated experience designing and developing blended learning using tools such as Adobe Captivate, Articulate, Articulate Storyline, or Camtasia.
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Develop and implement machine learning algorithms to improve our Generative AI solutions focusing on NLP/LLM areas. Job Description Summary: We are seeking a talented and driven AI Machine Learning Scientist to join PayPal’s nascent Strategic Generative AI Unit. The Strategic Gen AI unit’s charter is to orchestrate and facilitate adoption of Gen AI techniques and algorithms across enterprise business use cases by providing technical consulting as well as conducting applied R&D to explore building in house generative AI capabilities.
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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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Experience with one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow. Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing.
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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. Strong deep learning experience, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence, and/or Reinforcement Learning.
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We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
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At 42dot, our Machine Learning Engineers conduct research and development on machine learning algorithms to ensure safe autonomous driving. Efficient Learning and Inference: We optimize learning algorithms and inference processes to ensure resource-efficient utilization, crucial for real-time deployment in autonomous driving systems.
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Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms, including abusive accounts, fake engagements, spammy redirection, scraping, and fraud. Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception, and analysis.
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Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. What you'll do 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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Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch. Experience with neural deep learning methods and machine learning. Machine learning (ML) has been strategic to Amazon from the early years.
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As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This groundbreaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving.
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Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
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As Silicon Valley’s public university located at the academic and geographic center of a technological revolution, San José State University is uniquely situated in the convergence and advancement of research and teaching in artificial intelligence, machine learning, and robotics at an unprecedented pace.
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Python Data Engineering - Adapting standard machine learning methods to best exploit modern parallel environments: distributed clusters, multicore SMP, and GPU. PayPal, Inc. seeks Machine Learning Engineer 2 in San Jose, CA.
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learning job Title: nurse Company: Compunnel in Sunnyvale, CA
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