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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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With past experience working in fast-paced tech companies, the ideal candidate will recall a history of success leveraging deep HR subject matter expertise and growing business acumen to deploy the relevant manager coaching, manager/team enablement, and organizational development initiatives to assist in enabling the business to meet mission-critical deliverables.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
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Experience with deep learning for computer vision, NLP, or signal processing. sof tware engineering, artifi cia l intelligence, data science, machine learning engineering, or data engineering, including in a research or professional role.
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Work with diverse teams of developers with deep experience in distributed microservices, and full stack systems, machine learning and Generative AI tools and technologies. Stay on top of tech trends, experimenting with, and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.
Part-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. You will help shape and execute on our long term content strategy by leveraging operational program management skills with a deep understanding of what it takes to build Content.
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Deep understanding of adult learning methodologies, instructional design, and curriculum development. As part of the Learning & Development and Capability Building Team, you will report to the Learning & Development and Capability Building Lead and partner with Sales, Patient Value & Access, Franchise Brand Teams, Insights and Analytics, Human Resources, and other relevant functions.
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Experience in developing and implementing deep learning models. 7+ years of relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
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Deep Learning and Computer Vision, i.e., Generative Models, Image and Signal Processing, Multimodal Artificial Intelligence, Interpretable Machine Learning. Experience in Deep Learning based techniques at the intersection of Vision, Audio, 3D, and other modalities.
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Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Location: Vienna - Remote Category: Other Employment Type: Contract Job ID: 16371 Date Added: 03/20/2024 APPLY NOW View All Jobs Our client, a leading Banking & Financial Services company, is seeking a talented Machine Learning Engineer to join their Security team.
$75,000ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps. As part of Lean development, help conduct customer research, contextual inquiry, market segmentation, market research, and strategic partnerships to develop a deep understanding of both emerging and evolving market needs triggered by GenAI and LLM.
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