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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Robot manipulation, robot control, reinforcement learning, computer vision, human-robot interaction, deep learning, physics-based simulation, neuro symbolic reasoning, and natural language processing.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques. The role will present opportunities to work on large datasets and the ability to use innovative techniques in Artificial Intelligence ranging from various NLP methods, computer vision, and deep learning to enable solutions that will be directly impactful to our customers.
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Experience with deep learning workloads, including performance tuning considerations such as parallelization and fusion strategies; As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs advance the state of AI.
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Dr. Terrance Boult and his team at the El Pomar Institute for Innovation and Commericalization (EPIIC) at the University of Colorado Colorado Springs (UCCS) are seeking one or more highly motivated advanced post-doctoral researcher(s) with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning, and/or with biometrics and computational photography.
$62,000 - $85,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop. Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU.
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Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models. Hands-on experience implementing, deploying, evaluating, fine-tuning and hyperparameter-tuning deep learning models at scale.
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Experience working with NLP based algorithms such as BERT, ALBERT and deep learning algorithms such as CNN, RNN, RBM, AutoEncoders, etc. Strong understanding of generative AI techniques, including deep generative models, auto regressive models, prompt engineering and reinforcement learning for generative tasks.
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Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost.
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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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We're a startup that specializes in applying the latest advancements in deep learning to the anime and video game industry. Full Stack Software Engineer. Backend Software Engineer.
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Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.
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As the regional hub of higher education, Sacramento State is dedicated to learning and student success; teaching, research, scholarship and creative activity; justice, diversity, equity and inclusion; resource development and sustainability; dedicated community engagement, and wellness and safety.
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Prior experience specifically with US Navy Deep Submergence Assets and Support Systems. Develop modernization plans/changes for the US Navy Deep Submergence Assets and Support Systems. Work will be in support of US Navy Submarines, Submersibles or Deep Submergence projects.
$48,300 - $96,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
deep learning jobs Title: engineer Company: Genesis Research
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