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Experience working with Python, including deep learning frameworks like TensorFlow, PyTorch, and/or JAX. The successful candidate will work closely with members of the Kelley lab on deep representation learning, to better understand how yeast regulate gene expression.
$40 - $65 an hourInternExpandUpdated Today - UpvoteDownvoteShare Job
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1+ years of internship or coursework in deep learning, transformer architectures. The group presents lot of opportunity for optimization and scaling large deep learning models on Trainium (AWS Machine Learning acceleration) architecture.
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Additional requirements include the ability to read and implement related academic literature and experience in applying state of the art deep learning models to computer vision (e.g. segmentation, detection) or a closely related area (speech, NLP.
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Prepare a beautiful, orderly environment that fosters concentration, independence, and deep learning. Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more.
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Tesla Autopilot applies deep learning for autonomous driving at scale. Understanding of machine learning fundamentals (training vs. The team actively collects massive datasets from Tesla Vehicles, creates ground truth of labeled images and videos, and deploys deep neural networks to our fleet of more than a million Tesla cars.
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Experience with deep learning frameworks (e.g., Keras, TensorFlow, PyTorch, MxNet) Applications are invited for those experienced in data analytics, machine/deep learning, computer vision and computational modeling.
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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government. Experience with training deep learning models for computer vision or natural language understanding using frameworks, including TensorFlow, PyTorch, or Keras.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. If you'd like to build the world's best deep learning cloud, join us. Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
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PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Familiarity with deep learning framework such as TensorFlow and PyTorch. Experience in computer vision, signal processing and/or deep learning algorithm. Experience with OpenCV and CUDA programming.
$27 - $57 an hourInternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design.
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We have a dedicated in-person annual company retreat that includes our annual golf day as well as remote monthly events like learning hours, team happy hours, and team trivia that help to create synergy among colleagues and teams.
$45,000 - $60,000 a yearPart-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow, Pytroch or Jax; familiar with their underlying frameworks and implementation mechanisms. Rich experience and understanding of NLP, solid foundation in Machine Learning such as optimization, sparsity, etc.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a not-for-profit university affiliated research center, APL also delivered solutions to our nation's national security challenges, as proven with the recent Deep Space Advanced Radar Concept (DARC) Tech Demo, and acts as a trusted partner with the US Space Force in space domain awareness and space-integrated warfare.
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Deep expertise in machine learning, natural language processing, and other AI technologies, with hands-on experience in building and deploying AI-driven products and solutions. As the Director of Applied AI, you will play a pivotal role in shaping the future of our company's solutions by harnessing the power of Artificial Intelligence and machine learning.
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