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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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As a Machine Learning Engineer II with CodaMetrix you will help with translating proof-of-concept ideas to product grade solutions. The Machine Learning Engineer II reports to the Director of Architecture.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Familiarity with Docker, Git, ML development toolkits (e.g. PyTorch)Familiarity with training and adapting Machine Learning models, and familiarity with the Huggingface ecosystem and Transformer family of models.
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Pioneering Intelligence is building unique AI and machine learning know-how to augment the capabilities of Flagship companies and enable bigger leaps in human health and sustainability, amplify the process of creating breakthrough innovations, and originate new platform companies that build on innovations in machine learning.
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Assess current delivery of K-12 school social emotional learning practices, curriculum and resources in BPS by working with the OHW evaluation team. Lead the development and implementation of a comprehensive K-12 Tier 1 social emotional learning plan for the district.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, NLP, NLU, Ensemble Methods and Neural Networks.
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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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Founded by an award-winning team of computer scientists and researchers out of MIT, we are a venture-backed company headquartered in Davis Square, Somerville, MA. Our investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC. We are seeking a machine learning research scientist with a proven publication history related to model compression techniques such as pruning and quantization.
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Successful track record of advising young people on pursuing work based learning. learning opportunities for young people and is passionate about closing the opportunity gap. perseverance, learning and accountability and empathy and integrity.
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The purpose of the is study is the Integration of machine learning and genomics to predict outcomes for newly diagnosed, relapsed and refractory mature T-cell and NK-cell neoplasms: a global study of the PETAL Consortium.
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Masters or Ph. D. with experience in Machine Learning/Statistics/Data Science Experience with traditional as well as modern machine learning/statistical techniques, including NLP algorithms, LLMs, and quantization strategies.
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machine learning jobs Title: learning Company: Inc in Cambridge, MA
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