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FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
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LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc. · Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
$430,000 - $730,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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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Experience in computational lithography, image processing, or machine learning. Understanding and exploring Machine Learning based options for improving image quality and computation.
$155,000 - $233,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You: As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
Starting at $115,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you’ll be helping to build intelligent document recommendation and search tools that help our users find the legal precedent they need. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Knowledge or experience with machine learning algorithms, predictive modeling, and data mining. Drives new projects that involve machine learning (ML) and artificial intelligence (AI) through cross-functional collaboration and partnership.
$120,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Computer engineering, electrical engineering, informatic, machine learning, photonics, radar, robotics. PhD in machine learning, computer science, mathematics, statistics, or related quantitative fields and 10+ years of proven experience in deep learning, natural language processing & understanding, reinforcement learning OR Masters in machine learning, computer science, mathematics, statistics, or related quantitative fields and 12+ years of proven experience that includes deep learning, natural language processing & understanding, reinforcement learning.
$247,800 - $371,500ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
$126,984 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Automation Implementation: Identify, evaluate, and implement automation tools and technologies such as robotic process automation (RPA), artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), and blockchain to automate routine tasks, reduce manual intervention, and minimize errors.
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machine learning jobs Title: devops engineer Company: Twitter in Cupertino, CA
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