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Experience with relevant technologies (e.g., PyTorch, Tensorflow, machine learning libraries) Masters or PhD with specialization in one of the following areas: LLMs, Transformers, Deep Learning, NLP, Conversational AI, Machine Learning.
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Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C.
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Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch. We’re looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization, safety, and compliance.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. Hands-on experience with at least one modeling framework (Pytorch or Tensorflow.
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The Opportunity:Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems. Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers) Snorkel AI is enabling a paradigm shift in ML development by helping organizations take a programmatic approach to machine learning application development.
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You have 5+ years of experience as a Data Scientist or Machine Learning Engineer. We’re looking for a Machine Learning Engineer to join our team and help set the foundations of the company.
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Proven experience as a Full Stack Machine Learning Engineer or similar role. Integrate machine learning models with cloud-based platforms and/or embedded systems for deployment in production environments.
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Sr. Machine Learning Engineer - NVIDIA Jetson / CUDA. Experience with specialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL. We are looking for a passionate Senior Software Engineer to develop, deploy, and optimize robot perception systems that are able to run on integrated hardware.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Senior Principal Machine Learning Engineer, Monetization Snap Inc is a technology company. We’re looking for a Senior Principal Machine Learning Engineer to join Snap.
$486,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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We aim to lead the innovation and operational excellence in machine learning for the fintech industry. Expertise in the breadth of machine learning modeling techniques such as tree-based models, deep learning techniques, sequence models, and large language models.
$283,800 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Excellent programming skills, particularly in Python and deep learning frameworks such as PyTorch and TensorFlow. M.S. or Ph. D. in Computer Science, Machine Learning, or a related field with a focus on AI safety and ethics.
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As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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