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Responsibilities: Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics.
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Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery. + Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies.
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Extensive knowledge in machine learning and hands-on experience in developing and implementing deep learning algorithms and generative models like VAEs, GANs, autoregressive models and transformers.
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You have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. Knowledge of modern deep learning and natural language processing techniques.
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Experience in machine learning, deep learning, information retrieval, natural language processing, or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of the following languages: Python, Go, Java, C.
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Experience building complex software systems that have been successfully delivered to customers, especially involving deep learning, machine learning and computer vision. - 5+ years of building machine learning models for business application experience.
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Be proficient in deep learning tools such as Keras, TensorFlow, PyTorch, Caffe, etc. Deploy machine learning models into production systems for real-time monitoring and decision-making.
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Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) We are seeking a highly motivated, experienced, and talented Machine Learning Engineer to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
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Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Deep knowledge of machine learning, both theory and application. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Learning & Development: Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities.
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This position is for seasoned professionals with a deep understanding of Civil Engineering project delivery and specialized knowledge in Building Information Modeling (BIM) management and Virtual Design and Construction (VDC.
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With a focus on long term maintainability and quality this position will be expected to maintain UCSF's customizations, contribute to the open-source Moodle ecosystem, and develop long term technical strategy with the goal of ensuring inclusive, streamlined and transformative teaching and learning experiences for users across all areas of the education mission.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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deep learning jobs Company: Oracle in Seattle, Madison-heights, Michigan
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